There is a real business scenario involving risk analytics in banking and financial services to minimize the risk of losing money while lending to customers (Loan applications/approvals).
Two types of risks are associated with the bank’s decision:
If the applicant is likely to repay the loan, then not approving the loan results in a loss of business to the company
If the applicant is not likely to repay the loan, i.e. he/she is likely to default, then approving the loan may lead to a financial loss for the company.
The data given below contains the information about the loan application at the time of applying for the loan. It contains two types of scenarios:
The client with payment difficulties: he/she had late payment more than X days on at least one of the first Y instalments of the loan in our sample,----Typically late payments on X days and Y instalments
All other cases: All other cases when the payment is paid on time.
there are four types of decisions that could be taken by the client/company:
Approved: The Company has approved loan Application
Cancelled: The client cancelled the application sometime during approval. Either the client changed her/his mind about the loan or in some cases due to a higher risk of the client he received worse pricing which he did not want.
Refused: The company had rejected the loan (because the client does not meet their requirements etc.).
Unused offer: Loan has been cancelled by the client but on different stages of the process.
#### Importing all the necessary libraries
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
import seaborn as sns
import warnings
warnings.filterwarnings("ignore")
This dataset has 3 files as explained below:
'application_data.csv' contains all the information of the client at the time of application. The data is about whether a client has payment difficulties.
'previous_application.csv' contains information about the client’s previous loan data. It contains the data whether the previous application had been Approved, Cancelled, Refused or Unused offer.
'columns_description.csv' is data dictionary which describes the meaning of the variables.
### Lets import the application data into pandas dataframe
app = pd.read_csv("application_data.csv")
app.head()
## appears to have lot of columns, let know what they are....
| SK_ID_CURR | TARGET | NAME_CONTRACT_TYPE | CODE_GENDER | FLAG_OWN_CAR | FLAG_OWN_REALTY | CNT_CHILDREN | AMT_INCOME_TOTAL | AMT_CREDIT | AMT_ANNUITY | AMT_GOODS_PRICE | NAME_TYPE_SUITE | NAME_INCOME_TYPE | NAME_EDUCATION_TYPE | NAME_FAMILY_STATUS | NAME_HOUSING_TYPE | REGION_POPULATION_RELATIVE | DAYS_BIRTH | DAYS_EMPLOYED | DAYS_REGISTRATION | DAYS_ID_PUBLISH | OWN_CAR_AGE | FLAG_MOBIL | FLAG_EMP_PHONE | FLAG_WORK_PHONE | FLAG_CONT_MOBILE | FLAG_PHONE | FLAG_EMAIL | OCCUPATION_TYPE | CNT_FAM_MEMBERS | REGION_RATING_CLIENT | REGION_RATING_CLIENT_W_CITY | WEEKDAY_APPR_PROCESS_START | HOUR_APPR_PROCESS_START | REG_REGION_NOT_LIVE_REGION | REG_REGION_NOT_WORK_REGION | LIVE_REGION_NOT_WORK_REGION | REG_CITY_NOT_LIVE_CITY | REG_CITY_NOT_WORK_CITY | LIVE_CITY_NOT_WORK_CITY | ORGANIZATION_TYPE | EXT_SOURCE_1 | EXT_SOURCE_2 | EXT_SOURCE_3 | APARTMENTS_AVG | BASEMENTAREA_AVG | YEARS_BEGINEXPLUATATION_AVG | YEARS_BUILD_AVG | COMMONAREA_AVG | ELEVATORS_AVG | ENTRANCES_AVG | FLOORSMAX_AVG | FLOORSMIN_AVG | LANDAREA_AVG | LIVINGAPARTMENTS_AVG | LIVINGAREA_AVG | NONLIVINGAPARTMENTS_AVG | NONLIVINGAREA_AVG | APARTMENTS_MODE | BASEMENTAREA_MODE | YEARS_BEGINEXPLUATATION_MODE | YEARS_BUILD_MODE | COMMONAREA_MODE | ELEVATORS_MODE | ENTRANCES_MODE | FLOORSMAX_MODE | FLOORSMIN_MODE | LANDAREA_MODE | LIVINGAPARTMENTS_MODE | LIVINGAREA_MODE | NONLIVINGAPARTMENTS_MODE | NONLIVINGAREA_MODE | APARTMENTS_MEDI | BASEMENTAREA_MEDI | YEARS_BEGINEXPLUATATION_MEDI | YEARS_BUILD_MEDI | COMMONAREA_MEDI | ELEVATORS_MEDI | ENTRANCES_MEDI | FLOORSMAX_MEDI | FLOORSMIN_MEDI | LANDAREA_MEDI | LIVINGAPARTMENTS_MEDI | LIVINGAREA_MEDI | NONLIVINGAPARTMENTS_MEDI | NONLIVINGAREA_MEDI | FONDKAPREMONT_MODE | HOUSETYPE_MODE | TOTALAREA_MODE | WALLSMATERIAL_MODE | EMERGENCYSTATE_MODE | OBS_30_CNT_SOCIAL_CIRCLE | DEF_30_CNT_SOCIAL_CIRCLE | OBS_60_CNT_SOCIAL_CIRCLE | DEF_60_CNT_SOCIAL_CIRCLE | DAYS_LAST_PHONE_CHANGE | FLAG_DOCUMENT_2 | FLAG_DOCUMENT_3 | FLAG_DOCUMENT_4 | FLAG_DOCUMENT_5 | FLAG_DOCUMENT_6 | FLAG_DOCUMENT_7 | FLAG_DOCUMENT_8 | FLAG_DOCUMENT_9 | FLAG_DOCUMENT_10 | FLAG_DOCUMENT_11 | FLAG_DOCUMENT_12 | FLAG_DOCUMENT_13 | FLAG_DOCUMENT_14 | FLAG_DOCUMENT_15 | FLAG_DOCUMENT_16 | FLAG_DOCUMENT_17 | FLAG_DOCUMENT_18 | FLAG_DOCUMENT_19 | FLAG_DOCUMENT_20 | FLAG_DOCUMENT_21 | AMT_REQ_CREDIT_BUREAU_HOUR | AMT_REQ_CREDIT_BUREAU_DAY | AMT_REQ_CREDIT_BUREAU_WEEK | AMT_REQ_CREDIT_BUREAU_MON | AMT_REQ_CREDIT_BUREAU_QRT | AMT_REQ_CREDIT_BUREAU_YEAR | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 100002 | 1 | Cash loans | M | N | Y | 0 | 202500.0 | 406597.5 | 24700.5 | 351000.0 | Unaccompanied | Working | Secondary / secondary special | Single / not married | House / apartment | 0.018801 | -9461 | -637 | -3648.0 | -2120 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Laborers | 1.0 | 2 | 2 | WEDNESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.083037 | 0.262949 | 0.139376 | 0.0247 | 0.0369 | 0.9722 | 0.6192 | 0.0143 | 0.00 | 0.0690 | 0.0833 | 0.1250 | 0.0369 | 0.0202 | 0.0190 | 0.0000 | 0.0000 | 0.0252 | 0.0383 | 0.9722 | 0.6341 | 0.0144 | 0.0000 | 0.0690 | 0.0833 | 0.1250 | 0.0377 | 0.022 | 0.0198 | 0.0 | 0.0 | 0.0250 | 0.0369 | 0.9722 | 0.6243 | 0.0144 | 0.00 | 0.0690 | 0.0833 | 0.1250 | 0.0375 | 0.0205 | 0.0193 | 0.0000 | 0.00 | reg oper account | block of flats | 0.0149 | Stone, brick | No | 2.0 | 2.0 | 2.0 | 2.0 | -1134.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 1 | 100003 | 0 | Cash loans | F | N | N | 0 | 270000.0 | 1293502.5 | 35698.5 | 1129500.0 | Family | State servant | Higher education | Married | House / apartment | 0.003541 | -16765 | -1188 | -1186.0 | -291 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Core staff | 2.0 | 1 | 1 | MONDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | School | 0.311267 | 0.622246 | NaN | 0.0959 | 0.0529 | 0.9851 | 0.7960 | 0.0605 | 0.08 | 0.0345 | 0.2917 | 0.3333 | 0.0130 | 0.0773 | 0.0549 | 0.0039 | 0.0098 | 0.0924 | 0.0538 | 0.9851 | 0.8040 | 0.0497 | 0.0806 | 0.0345 | 0.2917 | 0.3333 | 0.0128 | 0.079 | 0.0554 | 0.0 | 0.0 | 0.0968 | 0.0529 | 0.9851 | 0.7987 | 0.0608 | 0.08 | 0.0345 | 0.2917 | 0.3333 | 0.0132 | 0.0787 | 0.0558 | 0.0039 | 0.01 | reg oper account | block of flats | 0.0714 | Block | No | 1.0 | 0.0 | 1.0 | 0.0 | -828.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 2 | 100004 | 0 | Revolving loans | M | Y | Y | 0 | 67500.0 | 135000.0 | 6750.0 | 135000.0 | Unaccompanied | Working | Secondary / secondary special | Single / not married | House / apartment | 0.010032 | -19046 | -225 | -4260.0 | -2531 | 26.0 | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 1.0 | 2 | 2 | MONDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Government | NaN | 0.555912 | 0.729567 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -815.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 3 | 100006 | 0 | Cash loans | F | N | Y | 0 | 135000.0 | 312682.5 | 29686.5 | 297000.0 | Unaccompanied | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.008019 | -19005 | -3039 | -9833.0 | -2437 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | WEDNESDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.650442 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 2.0 | 0.0 | 2.0 | 0.0 | -617.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 4 | 100007 | 0 | Cash loans | M | N | Y | 0 | 121500.0 | 513000.0 | 21865.5 | 513000.0 | Unaccompanied | Working | Secondary / secondary special | Single / not married | House / apartment | 0.028663 | -19932 | -3038 | -4311.0 | -3458 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 1.0 | 2 | 2 | THURSDAY | 11 | 0 | 0 | 0 | 0 | 1 | 1 | Religion | NaN | 0.322738 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1106.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
app.shape
(307511, 122)
This can be checked in the columns description.csv file
### checking on datatypes
app.info()
<class 'pandas.core.frame.DataFrame'> RangeIndex: 307511 entries, 0 to 307510 Columns: 122 entries, SK_ID_CURR to AMT_REQ_CREDIT_BUREAU_YEAR dtypes: float64(65), int64(41), object(16) memory usage: 286.2+ MB
### Columns with object data types
app.select_dtypes(["object"]).columns, len(app.select_dtypes(["object"]).columns)
(Index(['NAME_CONTRACT_TYPE', 'CODE_GENDER', 'FLAG_OWN_CAR', 'FLAG_OWN_REALTY',
'NAME_TYPE_SUITE', 'NAME_INCOME_TYPE', 'NAME_EDUCATION_TYPE',
'NAME_FAMILY_STATUS', 'NAME_HOUSING_TYPE', 'OCCUPATION_TYPE',
'WEEKDAY_APPR_PROCESS_START', 'ORGANIZATION_TYPE', 'FONDKAPREMONT_MODE',
'HOUSETYPE_MODE', 'WALLSMATERIAL_MODE', 'EMERGENCYSTATE_MODE'],
dtype='object'), 16)
### Columns with int data types
app.select_dtypes(["int64"]).columns
Index(['SK_ID_CURR', 'TARGET', 'CNT_CHILDREN', 'DAYS_BIRTH', 'DAYS_EMPLOYED',
'DAYS_ID_PUBLISH', 'FLAG_MOBIL', 'FLAG_EMP_PHONE', 'FLAG_WORK_PHONE',
'FLAG_CONT_MOBILE', 'FLAG_PHONE', 'FLAG_EMAIL', 'REGION_RATING_CLIENT',
'REGION_RATING_CLIENT_W_CITY', 'HOUR_APPR_PROCESS_START',
'REG_REGION_NOT_LIVE_REGION', 'REG_REGION_NOT_WORK_REGION',
'LIVE_REGION_NOT_WORK_REGION', 'REG_CITY_NOT_LIVE_CITY',
'REG_CITY_NOT_WORK_CITY', 'LIVE_CITY_NOT_WORK_CITY', 'FLAG_DOCUMENT_2',
'FLAG_DOCUMENT_3', 'FLAG_DOCUMENT_4', 'FLAG_DOCUMENT_5',
'FLAG_DOCUMENT_6', 'FLAG_DOCUMENT_7', 'FLAG_DOCUMENT_8',
'FLAG_DOCUMENT_9', 'FLAG_DOCUMENT_10', 'FLAG_DOCUMENT_11',
'FLAG_DOCUMENT_12', 'FLAG_DOCUMENT_13', 'FLAG_DOCUMENT_14',
'FLAG_DOCUMENT_15', 'FLAG_DOCUMENT_16', 'FLAG_DOCUMENT_17',
'FLAG_DOCUMENT_18', 'FLAG_DOCUMENT_19', 'FLAG_DOCUMENT_20',
'FLAG_DOCUMENT_21'],
dtype='object')
### Columns with float data types
app.select_dtypes(["float64"]).columns
Index(['AMT_INCOME_TOTAL', 'AMT_CREDIT', 'AMT_ANNUITY', 'AMT_GOODS_PRICE',
'REGION_POPULATION_RELATIVE', 'DAYS_REGISTRATION', 'OWN_CAR_AGE',
'CNT_FAM_MEMBERS', 'EXT_SOURCE_1', 'EXT_SOURCE_2', 'EXT_SOURCE_3',
'APARTMENTS_AVG', 'BASEMENTAREA_AVG', 'YEARS_BEGINEXPLUATATION_AVG',
'YEARS_BUILD_AVG', 'COMMONAREA_AVG', 'ELEVATORS_AVG', 'ENTRANCES_AVG',
'FLOORSMAX_AVG', 'FLOORSMIN_AVG', 'LANDAREA_AVG',
'LIVINGAPARTMENTS_AVG', 'LIVINGAREA_AVG', 'NONLIVINGAPARTMENTS_AVG',
'NONLIVINGAREA_AVG', 'APARTMENTS_MODE', 'BASEMENTAREA_MODE',
'YEARS_BEGINEXPLUATATION_MODE', 'YEARS_BUILD_MODE', 'COMMONAREA_MODE',
'ELEVATORS_MODE', 'ENTRANCES_MODE', 'FLOORSMAX_MODE', 'FLOORSMIN_MODE',
'LANDAREA_MODE', 'LIVINGAPARTMENTS_MODE', 'LIVINGAREA_MODE',
'NONLIVINGAPARTMENTS_MODE', 'NONLIVINGAREA_MODE', 'APARTMENTS_MEDI',
'BASEMENTAREA_MEDI', 'YEARS_BEGINEXPLUATATION_MEDI', 'YEARS_BUILD_MEDI',
'COMMONAREA_MEDI', 'ELEVATORS_MEDI', 'ENTRANCES_MEDI', 'FLOORSMAX_MEDI',
'FLOORSMIN_MEDI', 'LANDAREA_MEDI', 'LIVINGAPARTMENTS_MEDI',
'LIVINGAREA_MEDI', 'NONLIVINGAPARTMENTS_MEDI', 'NONLIVINGAREA_MEDI',
'TOTALAREA_MODE', 'OBS_30_CNT_SOCIAL_CIRCLE',
'DEF_30_CNT_SOCIAL_CIRCLE', 'OBS_60_CNT_SOCIAL_CIRCLE',
'DEF_60_CNT_SOCIAL_CIRCLE', 'DAYS_LAST_PHONE_CHANGE',
'AMT_REQ_CREDIT_BUREAU_HOUR', 'AMT_REQ_CREDIT_BUREAU_DAY',
'AMT_REQ_CREDIT_BUREAU_WEEK', 'AMT_REQ_CREDIT_BUREAU_MON',
'AMT_REQ_CREDIT_BUREAU_QRT', 'AMT_REQ_CREDIT_BUREAU_YEAR'],
dtype='object')
### Using verbose will identify all the columns and there data types
app.info(verbose=True)
<class 'pandas.core.frame.DataFrame'> RangeIndex: 307511 entries, 0 to 307510 Data columns (total 122 columns): SK_ID_CURR int64 TARGET int64 NAME_CONTRACT_TYPE object CODE_GENDER object FLAG_OWN_CAR object FLAG_OWN_REALTY object CNT_CHILDREN int64 AMT_INCOME_TOTAL float64 AMT_CREDIT float64 AMT_ANNUITY float64 AMT_GOODS_PRICE float64 NAME_TYPE_SUITE object NAME_INCOME_TYPE object NAME_EDUCATION_TYPE object NAME_FAMILY_STATUS object NAME_HOUSING_TYPE object REGION_POPULATION_RELATIVE float64 DAYS_BIRTH int64 DAYS_EMPLOYED int64 DAYS_REGISTRATION float64 DAYS_ID_PUBLISH int64 OWN_CAR_AGE float64 FLAG_MOBIL int64 FLAG_EMP_PHONE int64 FLAG_WORK_PHONE int64 FLAG_CONT_MOBILE int64 FLAG_PHONE int64 FLAG_EMAIL int64 OCCUPATION_TYPE object CNT_FAM_MEMBERS float64 REGION_RATING_CLIENT int64 REGION_RATING_CLIENT_W_CITY int64 WEEKDAY_APPR_PROCESS_START object HOUR_APPR_PROCESS_START int64 REG_REGION_NOT_LIVE_REGION int64 REG_REGION_NOT_WORK_REGION int64 LIVE_REGION_NOT_WORK_REGION int64 REG_CITY_NOT_LIVE_CITY int64 REG_CITY_NOT_WORK_CITY int64 LIVE_CITY_NOT_WORK_CITY int64 ORGANIZATION_TYPE object EXT_SOURCE_1 float64 EXT_SOURCE_2 float64 EXT_SOURCE_3 float64 APARTMENTS_AVG float64 BASEMENTAREA_AVG float64 YEARS_BEGINEXPLUATATION_AVG float64 YEARS_BUILD_AVG float64 COMMONAREA_AVG float64 ELEVATORS_AVG float64 ENTRANCES_AVG float64 FLOORSMAX_AVG float64 FLOORSMIN_AVG float64 LANDAREA_AVG float64 LIVINGAPARTMENTS_AVG float64 LIVINGAREA_AVG float64 NONLIVINGAPARTMENTS_AVG float64 NONLIVINGAREA_AVG float64 APARTMENTS_MODE float64 BASEMENTAREA_MODE float64 YEARS_BEGINEXPLUATATION_MODE float64 YEARS_BUILD_MODE float64 COMMONAREA_MODE float64 ELEVATORS_MODE float64 ENTRANCES_MODE float64 FLOORSMAX_MODE float64 FLOORSMIN_MODE float64 LANDAREA_MODE float64 LIVINGAPARTMENTS_MODE float64 LIVINGAREA_MODE float64 NONLIVINGAPARTMENTS_MODE float64 NONLIVINGAREA_MODE float64 APARTMENTS_MEDI float64 BASEMENTAREA_MEDI float64 YEARS_BEGINEXPLUATATION_MEDI float64 YEARS_BUILD_MEDI float64 COMMONAREA_MEDI float64 ELEVATORS_MEDI float64 ENTRANCES_MEDI float64 FLOORSMAX_MEDI float64 FLOORSMIN_MEDI float64 LANDAREA_MEDI float64 LIVINGAPARTMENTS_MEDI float64 LIVINGAREA_MEDI float64 NONLIVINGAPARTMENTS_MEDI float64 NONLIVINGAREA_MEDI float64 FONDKAPREMONT_MODE object HOUSETYPE_MODE object TOTALAREA_MODE float64 WALLSMATERIAL_MODE object EMERGENCYSTATE_MODE object OBS_30_CNT_SOCIAL_CIRCLE float64 DEF_30_CNT_SOCIAL_CIRCLE float64 OBS_60_CNT_SOCIAL_CIRCLE float64 DEF_60_CNT_SOCIAL_CIRCLE float64 DAYS_LAST_PHONE_CHANGE float64 FLAG_DOCUMENT_2 int64 FLAG_DOCUMENT_3 int64 FLAG_DOCUMENT_4 int64 FLAG_DOCUMENT_5 int64 FLAG_DOCUMENT_6 int64 FLAG_DOCUMENT_7 int64 FLAG_DOCUMENT_8 int64 FLAG_DOCUMENT_9 int64 FLAG_DOCUMENT_10 int64 FLAG_DOCUMENT_11 int64 FLAG_DOCUMENT_12 int64 FLAG_DOCUMENT_13 int64 FLAG_DOCUMENT_14 int64 FLAG_DOCUMENT_15 int64 FLAG_DOCUMENT_16 int64 FLAG_DOCUMENT_17 int64 FLAG_DOCUMENT_18 int64 FLAG_DOCUMENT_19 int64 FLAG_DOCUMENT_20 int64 FLAG_DOCUMENT_21 int64 AMT_REQ_CREDIT_BUREAU_HOUR float64 AMT_REQ_CREDIT_BUREAU_DAY float64 AMT_REQ_CREDIT_BUREAU_WEEK float64 AMT_REQ_CREDIT_BUREAU_MON float64 AMT_REQ_CREDIT_BUREAU_QRT float64 AMT_REQ_CREDIT_BUREAU_YEAR float64 dtypes: float64(65), int64(41), object(16) memory usage: 286.2+ MB
### Lets check the descriptive statistics of the dataframe i.e. out of 122 columns we should have 106 columns for statistics info
app.describe()
| SK_ID_CURR | TARGET | CNT_CHILDREN | AMT_INCOME_TOTAL | AMT_CREDIT | AMT_ANNUITY | AMT_GOODS_PRICE | REGION_POPULATION_RELATIVE | DAYS_BIRTH | DAYS_EMPLOYED | DAYS_REGISTRATION | DAYS_ID_PUBLISH | OWN_CAR_AGE | FLAG_MOBIL | FLAG_EMP_PHONE | FLAG_WORK_PHONE | FLAG_CONT_MOBILE | FLAG_PHONE | FLAG_EMAIL | CNT_FAM_MEMBERS | REGION_RATING_CLIENT | REGION_RATING_CLIENT_W_CITY | HOUR_APPR_PROCESS_START | REG_REGION_NOT_LIVE_REGION | REG_REGION_NOT_WORK_REGION | LIVE_REGION_NOT_WORK_REGION | REG_CITY_NOT_LIVE_CITY | REG_CITY_NOT_WORK_CITY | LIVE_CITY_NOT_WORK_CITY | EXT_SOURCE_1 | EXT_SOURCE_2 | EXT_SOURCE_3 | APARTMENTS_AVG | BASEMENTAREA_AVG | YEARS_BEGINEXPLUATATION_AVG | YEARS_BUILD_AVG | COMMONAREA_AVG | ELEVATORS_AVG | ENTRANCES_AVG | FLOORSMAX_AVG | FLOORSMIN_AVG | LANDAREA_AVG | LIVINGAPARTMENTS_AVG | LIVINGAREA_AVG | NONLIVINGAPARTMENTS_AVG | NONLIVINGAREA_AVG | APARTMENTS_MODE | BASEMENTAREA_MODE | YEARS_BEGINEXPLUATATION_MODE | YEARS_BUILD_MODE | COMMONAREA_MODE | ELEVATORS_MODE | ENTRANCES_MODE | FLOORSMAX_MODE | FLOORSMIN_MODE | LANDAREA_MODE | LIVINGAPARTMENTS_MODE | LIVINGAREA_MODE | NONLIVINGAPARTMENTS_MODE | NONLIVINGAREA_MODE | APARTMENTS_MEDI | BASEMENTAREA_MEDI | YEARS_BEGINEXPLUATATION_MEDI | YEARS_BUILD_MEDI | COMMONAREA_MEDI | ELEVATORS_MEDI | ENTRANCES_MEDI | FLOORSMAX_MEDI | FLOORSMIN_MEDI | LANDAREA_MEDI | LIVINGAPARTMENTS_MEDI | LIVINGAREA_MEDI | NONLIVINGAPARTMENTS_MEDI | NONLIVINGAREA_MEDI | TOTALAREA_MODE | OBS_30_CNT_SOCIAL_CIRCLE | DEF_30_CNT_SOCIAL_CIRCLE | OBS_60_CNT_SOCIAL_CIRCLE | DEF_60_CNT_SOCIAL_CIRCLE | DAYS_LAST_PHONE_CHANGE | FLAG_DOCUMENT_2 | FLAG_DOCUMENT_3 | FLAG_DOCUMENT_4 | FLAG_DOCUMENT_5 | FLAG_DOCUMENT_6 | FLAG_DOCUMENT_7 | FLAG_DOCUMENT_8 | FLAG_DOCUMENT_9 | FLAG_DOCUMENT_10 | FLAG_DOCUMENT_11 | FLAG_DOCUMENT_12 | FLAG_DOCUMENT_13 | FLAG_DOCUMENT_14 | FLAG_DOCUMENT_15 | FLAG_DOCUMENT_16 | FLAG_DOCUMENT_17 | FLAG_DOCUMENT_18 | FLAG_DOCUMENT_19 | FLAG_DOCUMENT_20 | FLAG_DOCUMENT_21 | AMT_REQ_CREDIT_BUREAU_HOUR | AMT_REQ_CREDIT_BUREAU_DAY | AMT_REQ_CREDIT_BUREAU_WEEK | AMT_REQ_CREDIT_BUREAU_MON | AMT_REQ_CREDIT_BUREAU_QRT | AMT_REQ_CREDIT_BUREAU_YEAR | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| count | 307511.000000 | 307511.000000 | 307511.000000 | 3.075110e+05 | 3.075110e+05 | 307499.000000 | 3.072330e+05 | 307511.000000 | 307511.000000 | 307511.000000 | 307511.000000 | 307511.000000 | 104582.000000 | 307511.000000 | 307511.000000 | 307511.000000 | 307511.000000 | 307511.000000 | 307511.000000 | 307509.000000 | 307511.000000 | 307511.000000 | 307511.000000 | 307511.000000 | 307511.000000 | 307511.000000 | 307511.000000 | 307511.000000 | 307511.000000 | 134133.000000 | 3.068510e+05 | 246546.000000 | 151450.00000 | 127568.000000 | 157504.000000 | 103023.000000 | 92646.000000 | 143620.000000 | 152683.000000 | 154491.000000 | 98869.000000 | 124921.000000 | 97312.000000 | 153161.000000 | 93997.000000 | 137829.000000 | 151450.000000 | 127568.000000 | 157504.000000 | 103023.000000 | 92646.000000 | 143620.000000 | 152683.000000 | 154491.000000 | 98869.000000 | 124921.000000 | 97312.000000 | 153161.000000 | 93997.000000 | 137829.000000 | 151450.000000 | 127568.000000 | 157504.000000 | 103023.000000 | 92646.000000 | 143620.000000 | 152683.000000 | 154491.000000 | 98869.000000 | 124921.000000 | 97312.000000 | 153161.000000 | 93997.000000 | 137829.000000 | 159080.000000 | 306490.000000 | 306490.000000 | 306490.000000 | 306490.000000 | 307510.000000 | 307511.000000 | 307511.000000 | 307511.000000 | 307511.000000 | 307511.000000 | 307511.000000 | 307511.000000 | 307511.000000 | 307511.000000 | 307511.000000 | 307511.000000 | 307511.000000 | 307511.000000 | 307511.00000 | 307511.000000 | 307511.000000 | 307511.000000 | 307511.000000 | 307511.000000 | 307511.000000 | 265992.000000 | 265992.000000 | 265992.000000 | 265992.000000 | 265992.000000 | 265992.000000 |
| mean | 278180.518577 | 0.080729 | 0.417052 | 1.687979e+05 | 5.990260e+05 | 27108.573909 | 5.383962e+05 | 0.020868 | -16036.995067 | 63815.045904 | -4986.120328 | -2994.202373 | 12.061091 | 0.999997 | 0.819889 | 0.199368 | 0.998133 | 0.281066 | 0.056720 | 2.152665 | 2.052463 | 2.031521 | 12.063419 | 0.015144 | 0.050769 | 0.040659 | 0.078173 | 0.230454 | 0.179555 | 0.502130 | 5.143927e-01 | 0.510853 | 0.11744 | 0.088442 | 0.977735 | 0.752471 | 0.044621 | 0.078942 | 0.149725 | 0.226282 | 0.231894 | 0.066333 | 0.100775 | 0.107399 | 0.008809 | 0.028358 | 0.114231 | 0.087543 | 0.977065 | 0.759637 | 0.042553 | 0.074490 | 0.145193 | 0.222315 | 0.228058 | 0.064958 | 0.105645 | 0.105975 | 0.008076 | 0.027022 | 0.117850 | 0.087955 | 0.977752 | 0.755746 | 0.044595 | 0.078078 | 0.149213 | 0.225897 | 0.231625 | 0.067169 | 0.101954 | 0.108607 | 0.008651 | 0.028236 | 0.102547 | 1.422245 | 0.143421 | 1.405292 | 0.100049 | -962.858788 | 0.000042 | 0.710023 | 0.000081 | 0.015115 | 0.088055 | 0.000192 | 0.081376 | 0.003896 | 0.000023 | 0.003912 | 0.000007 | 0.003525 | 0.002936 | 0.00121 | 0.009928 | 0.000267 | 0.008130 | 0.000595 | 0.000507 | 0.000335 | 0.006402 | 0.007000 | 0.034362 | 0.267395 | 0.265474 | 1.899974 |
| std | 102790.175348 | 0.272419 | 0.722121 | 2.371231e+05 | 4.024908e+05 | 14493.737315 | 3.694465e+05 | 0.013831 | 4363.988632 | 141275.766519 | 3522.886321 | 1509.450419 | 11.944812 | 0.001803 | 0.384280 | 0.399526 | 0.043164 | 0.449521 | 0.231307 | 0.910682 | 0.509034 | 0.502737 | 3.265832 | 0.122126 | 0.219526 | 0.197499 | 0.268444 | 0.421124 | 0.383817 | 0.211062 | 1.910602e-01 | 0.194844 | 0.10824 | 0.082438 | 0.059223 | 0.113280 | 0.076036 | 0.134576 | 0.100049 | 0.144641 | 0.161380 | 0.081184 | 0.092576 | 0.110565 | 0.047732 | 0.069523 | 0.107936 | 0.084307 | 0.064575 | 0.110111 | 0.074445 | 0.132256 | 0.100977 | 0.143709 | 0.161160 | 0.081750 | 0.097880 | 0.111845 | 0.046276 | 0.070254 | 0.109076 | 0.082179 | 0.059897 | 0.112066 | 0.076144 | 0.134467 | 0.100368 | 0.145067 | 0.161934 | 0.082167 | 0.093642 | 0.112260 | 0.047415 | 0.070166 | 0.107462 | 2.400989 | 0.446698 | 2.379803 | 0.362291 | 826.808487 | 0.006502 | 0.453752 | 0.009016 | 0.122010 | 0.283376 | 0.013850 | 0.273412 | 0.062295 | 0.004771 | 0.062424 | 0.002550 | 0.059268 | 0.054110 | 0.03476 | 0.099144 | 0.016327 | 0.089798 | 0.024387 | 0.022518 | 0.018299 | 0.083849 | 0.110757 | 0.204685 | 0.916002 | 0.794056 | 1.869295 |
| min | 100002.000000 | 0.000000 | 0.000000 | 2.565000e+04 | 4.500000e+04 | 1615.500000 | 4.050000e+04 | 0.000290 | -25229.000000 | -17912.000000 | -24672.000000 | -7197.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 1.000000 | 1.000000 | 1.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.014568 | 8.173617e-08 | 0.000527 | 0.00000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | -4292.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 |
| 25% | 189145.500000 | 0.000000 | 0.000000 | 1.125000e+05 | 2.700000e+05 | 16524.000000 | 2.385000e+05 | 0.010006 | -19682.000000 | -2760.000000 | -7479.500000 | -4299.000000 | 5.000000 | 1.000000 | 1.000000 | 0.000000 | 1.000000 | 0.000000 | 0.000000 | 2.000000 | 2.000000 | 2.000000 | 10.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.334007 | 3.924574e-01 | 0.370650 | 0.05770 | 0.044200 | 0.976700 | 0.687200 | 0.007800 | 0.000000 | 0.069000 | 0.166700 | 0.083300 | 0.018700 | 0.050400 | 0.045300 | 0.000000 | 0.000000 | 0.052500 | 0.040700 | 0.976700 | 0.699400 | 0.007200 | 0.000000 | 0.069000 | 0.166700 | 0.083300 | 0.016600 | 0.054200 | 0.042700 | 0.000000 | 0.000000 | 0.058300 | 0.043700 | 0.976700 | 0.691400 | 0.007900 | 0.000000 | 0.069000 | 0.166700 | 0.083300 | 0.018700 | 0.051300 | 0.045700 | 0.000000 | 0.000000 | 0.041200 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | -1570.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 |
| 50% | 278202.000000 | 0.000000 | 0.000000 | 1.471500e+05 | 5.135310e+05 | 24903.000000 | 4.500000e+05 | 0.018850 | -15750.000000 | -1213.000000 | -4504.000000 | -3254.000000 | 9.000000 | 1.000000 | 1.000000 | 0.000000 | 1.000000 | 0.000000 | 0.000000 | 2.000000 | 2.000000 | 2.000000 | 12.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.505998 | 5.659614e-01 | 0.535276 | 0.08760 | 0.076300 | 0.981600 | 0.755200 | 0.021100 | 0.000000 | 0.137900 | 0.166700 | 0.208300 | 0.048100 | 0.075600 | 0.074500 | 0.000000 | 0.003600 | 0.084000 | 0.074600 | 0.981600 | 0.764800 | 0.019000 | 0.000000 | 0.137900 | 0.166700 | 0.208300 | 0.045800 | 0.077100 | 0.073100 | 0.000000 | 0.001100 | 0.086400 | 0.075800 | 0.981600 | 0.758500 | 0.020800 | 0.000000 | 0.137900 | 0.166700 | 0.208300 | 0.048700 | 0.076100 | 0.074900 | 0.000000 | 0.003100 | 0.068800 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | -757.000000 | 0.000000 | 1.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 1.000000 |
| 75% | 367142.500000 | 0.000000 | 1.000000 | 2.025000e+05 | 8.086500e+05 | 34596.000000 | 6.795000e+05 | 0.028663 | -12413.000000 | -289.000000 | -2010.000000 | -1720.000000 | 15.000000 | 1.000000 | 1.000000 | 0.000000 | 1.000000 | 1.000000 | 0.000000 | 3.000000 | 2.000000 | 2.000000 | 14.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.675053 | 6.636171e-01 | 0.669057 | 0.14850 | 0.112200 | 0.986600 | 0.823200 | 0.051500 | 0.120000 | 0.206900 | 0.333300 | 0.375000 | 0.085600 | 0.121000 | 0.129900 | 0.003900 | 0.027700 | 0.143900 | 0.112400 | 0.986600 | 0.823600 | 0.049000 | 0.120800 | 0.206900 | 0.333300 | 0.375000 | 0.084100 | 0.131300 | 0.125200 | 0.003900 | 0.023100 | 0.148900 | 0.111600 | 0.986600 | 0.825600 | 0.051300 | 0.120000 | 0.206900 | 0.333300 | 0.375000 | 0.086800 | 0.123100 | 0.130300 | 0.003900 | 0.026600 | 0.127600 | 2.000000 | 0.000000 | 2.000000 | 0.000000 | -274.000000 | 0.000000 | 1.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 3.000000 |
| max | 456255.000000 | 1.000000 | 19.000000 | 1.170000e+08 | 4.050000e+06 | 258025.500000 | 4.050000e+06 | 0.072508 | -7489.000000 | 365243.000000 | 0.000000 | 0.000000 | 91.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 20.000000 | 3.000000 | 3.000000 | 23.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 0.962693 | 8.549997e-01 | 0.896010 | 1.00000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 348.000000 | 34.000000 | 344.000000 | 24.000000 | 0.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.00000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 4.000000 | 9.000000 | 8.000000 | 27.000000 | 261.000000 | 25.000000 |
## Checking on missing values percentage
null_per = app.isnull().sum()/len(app)*100
null_per
SK_ID_CURR 0.000000 TARGET 0.000000 NAME_CONTRACT_TYPE 0.000000 CODE_GENDER 0.000000 FLAG_OWN_CAR 0.000000 FLAG_OWN_REALTY 0.000000 CNT_CHILDREN 0.000000 AMT_INCOME_TOTAL 0.000000 AMT_CREDIT 0.000000 AMT_ANNUITY 0.003902 AMT_GOODS_PRICE 0.090403 NAME_TYPE_SUITE 0.420148 NAME_INCOME_TYPE 0.000000 NAME_EDUCATION_TYPE 0.000000 NAME_FAMILY_STATUS 0.000000 NAME_HOUSING_TYPE 0.000000 REGION_POPULATION_RELATIVE 0.000000 DAYS_BIRTH 0.000000 DAYS_EMPLOYED 0.000000 DAYS_REGISTRATION 0.000000 DAYS_ID_PUBLISH 0.000000 OWN_CAR_AGE 65.990810 FLAG_MOBIL 0.000000 FLAG_EMP_PHONE 0.000000 FLAG_WORK_PHONE 0.000000 FLAG_CONT_MOBILE 0.000000 FLAG_PHONE 0.000000 FLAG_EMAIL 0.000000 OCCUPATION_TYPE 31.345545 CNT_FAM_MEMBERS 0.000650 REGION_RATING_CLIENT 0.000000 REGION_RATING_CLIENT_W_CITY 0.000000 WEEKDAY_APPR_PROCESS_START 0.000000 HOUR_APPR_PROCESS_START 0.000000 REG_REGION_NOT_LIVE_REGION 0.000000 REG_REGION_NOT_WORK_REGION 0.000000 LIVE_REGION_NOT_WORK_REGION 0.000000 REG_CITY_NOT_LIVE_CITY 0.000000 REG_CITY_NOT_WORK_CITY 0.000000 LIVE_CITY_NOT_WORK_CITY 0.000000 ORGANIZATION_TYPE 0.000000 EXT_SOURCE_1 56.381073 EXT_SOURCE_2 0.214626 EXT_SOURCE_3 19.825307 APARTMENTS_AVG 50.749729 BASEMENTAREA_AVG 58.515956 YEARS_BEGINEXPLUATATION_AVG 48.781019 YEARS_BUILD_AVG 66.497784 COMMONAREA_AVG 69.872297 ELEVATORS_AVG 53.295980 ENTRANCES_AVG 50.348768 FLOORSMAX_AVG 49.760822 FLOORSMIN_AVG 67.848630 LANDAREA_AVG 59.376738 LIVINGAPARTMENTS_AVG 68.354953 LIVINGAREA_AVG 50.193326 NONLIVINGAPARTMENTS_AVG 69.432963 NONLIVINGAREA_AVG 55.179164 APARTMENTS_MODE 50.749729 BASEMENTAREA_MODE 58.515956 YEARS_BEGINEXPLUATATION_MODE 48.781019 YEARS_BUILD_MODE 66.497784 COMMONAREA_MODE 69.872297 ELEVATORS_MODE 53.295980 ENTRANCES_MODE 50.348768 FLOORSMAX_MODE 49.760822 FLOORSMIN_MODE 67.848630 LANDAREA_MODE 59.376738 LIVINGAPARTMENTS_MODE 68.354953 LIVINGAREA_MODE 50.193326 NONLIVINGAPARTMENTS_MODE 69.432963 NONLIVINGAREA_MODE 55.179164 APARTMENTS_MEDI 50.749729 BASEMENTAREA_MEDI 58.515956 YEARS_BEGINEXPLUATATION_MEDI 48.781019 YEARS_BUILD_MEDI 66.497784 COMMONAREA_MEDI 69.872297 ELEVATORS_MEDI 53.295980 ENTRANCES_MEDI 50.348768 FLOORSMAX_MEDI 49.760822 FLOORSMIN_MEDI 67.848630 LANDAREA_MEDI 59.376738 LIVINGAPARTMENTS_MEDI 68.354953 LIVINGAREA_MEDI 50.193326 NONLIVINGAPARTMENTS_MEDI 69.432963 NONLIVINGAREA_MEDI 55.179164 FONDKAPREMONT_MODE 68.386172 HOUSETYPE_MODE 50.176091 TOTALAREA_MODE 48.268517 WALLSMATERIAL_MODE 50.840783 EMERGENCYSTATE_MODE 47.398304 OBS_30_CNT_SOCIAL_CIRCLE 0.332021 DEF_30_CNT_SOCIAL_CIRCLE 0.332021 OBS_60_CNT_SOCIAL_CIRCLE 0.332021 DEF_60_CNT_SOCIAL_CIRCLE 0.332021 DAYS_LAST_PHONE_CHANGE 0.000325 FLAG_DOCUMENT_2 0.000000 FLAG_DOCUMENT_3 0.000000 FLAG_DOCUMENT_4 0.000000 FLAG_DOCUMENT_5 0.000000 FLAG_DOCUMENT_6 0.000000 FLAG_DOCUMENT_7 0.000000 FLAG_DOCUMENT_8 0.000000 FLAG_DOCUMENT_9 0.000000 FLAG_DOCUMENT_10 0.000000 FLAG_DOCUMENT_11 0.000000 FLAG_DOCUMENT_12 0.000000 FLAG_DOCUMENT_13 0.000000 FLAG_DOCUMENT_14 0.000000 FLAG_DOCUMENT_15 0.000000 FLAG_DOCUMENT_16 0.000000 FLAG_DOCUMENT_17 0.000000 FLAG_DOCUMENT_18 0.000000 FLAG_DOCUMENT_19 0.000000 FLAG_DOCUMENT_20 0.000000 FLAG_DOCUMENT_21 0.000000 AMT_REQ_CREDIT_BUREAU_HOUR 13.501631 AMT_REQ_CREDIT_BUREAU_DAY 13.501631 AMT_REQ_CREDIT_BUREAU_WEEK 13.501631 AMT_REQ_CREDIT_BUREAU_MON 13.501631 AMT_REQ_CREDIT_BUREAU_QRT 13.501631 AMT_REQ_CREDIT_BUREAU_YEAR 13.501631 dtype: float64
### As we are unable to check on all the rows and columns, we will change the settings in pandas
pd.set_option('display.max_columns', 400)
pd.set_option('display.max_rows', 400)
null_per = app.isnull().sum()/len(app)*100
null_per
SK_ID_CURR 0.000000 TARGET 0.000000 NAME_CONTRACT_TYPE 0.000000 CODE_GENDER 0.000000 FLAG_OWN_CAR 0.000000 FLAG_OWN_REALTY 0.000000 CNT_CHILDREN 0.000000 AMT_INCOME_TOTAL 0.000000 AMT_CREDIT 0.000000 AMT_ANNUITY 0.003902 AMT_GOODS_PRICE 0.090403 NAME_TYPE_SUITE 0.420148 NAME_INCOME_TYPE 0.000000 NAME_EDUCATION_TYPE 0.000000 NAME_FAMILY_STATUS 0.000000 NAME_HOUSING_TYPE 0.000000 REGION_POPULATION_RELATIVE 0.000000 DAYS_BIRTH 0.000000 DAYS_EMPLOYED 0.000000 DAYS_REGISTRATION 0.000000 DAYS_ID_PUBLISH 0.000000 OWN_CAR_AGE 65.990810 FLAG_MOBIL 0.000000 FLAG_EMP_PHONE 0.000000 FLAG_WORK_PHONE 0.000000 FLAG_CONT_MOBILE 0.000000 FLAG_PHONE 0.000000 FLAG_EMAIL 0.000000 OCCUPATION_TYPE 31.345545 CNT_FAM_MEMBERS 0.000650 REGION_RATING_CLIENT 0.000000 REGION_RATING_CLIENT_W_CITY 0.000000 WEEKDAY_APPR_PROCESS_START 0.000000 HOUR_APPR_PROCESS_START 0.000000 REG_REGION_NOT_LIVE_REGION 0.000000 REG_REGION_NOT_WORK_REGION 0.000000 LIVE_REGION_NOT_WORK_REGION 0.000000 REG_CITY_NOT_LIVE_CITY 0.000000 REG_CITY_NOT_WORK_CITY 0.000000 LIVE_CITY_NOT_WORK_CITY 0.000000 ORGANIZATION_TYPE 0.000000 EXT_SOURCE_1 56.381073 EXT_SOURCE_2 0.214626 EXT_SOURCE_3 19.825307 APARTMENTS_AVG 50.749729 BASEMENTAREA_AVG 58.515956 YEARS_BEGINEXPLUATATION_AVG 48.781019 YEARS_BUILD_AVG 66.497784 COMMONAREA_AVG 69.872297 ELEVATORS_AVG 53.295980 ENTRANCES_AVG 50.348768 FLOORSMAX_AVG 49.760822 FLOORSMIN_AVG 67.848630 LANDAREA_AVG 59.376738 LIVINGAPARTMENTS_AVG 68.354953 LIVINGAREA_AVG 50.193326 NONLIVINGAPARTMENTS_AVG 69.432963 NONLIVINGAREA_AVG 55.179164 APARTMENTS_MODE 50.749729 BASEMENTAREA_MODE 58.515956 YEARS_BEGINEXPLUATATION_MODE 48.781019 YEARS_BUILD_MODE 66.497784 COMMONAREA_MODE 69.872297 ELEVATORS_MODE 53.295980 ENTRANCES_MODE 50.348768 FLOORSMAX_MODE 49.760822 FLOORSMIN_MODE 67.848630 LANDAREA_MODE 59.376738 LIVINGAPARTMENTS_MODE 68.354953 LIVINGAREA_MODE 50.193326 NONLIVINGAPARTMENTS_MODE 69.432963 NONLIVINGAREA_MODE 55.179164 APARTMENTS_MEDI 50.749729 BASEMENTAREA_MEDI 58.515956 YEARS_BEGINEXPLUATATION_MEDI 48.781019 YEARS_BUILD_MEDI 66.497784 COMMONAREA_MEDI 69.872297 ELEVATORS_MEDI 53.295980 ENTRANCES_MEDI 50.348768 FLOORSMAX_MEDI 49.760822 FLOORSMIN_MEDI 67.848630 LANDAREA_MEDI 59.376738 LIVINGAPARTMENTS_MEDI 68.354953 LIVINGAREA_MEDI 50.193326 NONLIVINGAPARTMENTS_MEDI 69.432963 NONLIVINGAREA_MEDI 55.179164 FONDKAPREMONT_MODE 68.386172 HOUSETYPE_MODE 50.176091 TOTALAREA_MODE 48.268517 WALLSMATERIAL_MODE 50.840783 EMERGENCYSTATE_MODE 47.398304 OBS_30_CNT_SOCIAL_CIRCLE 0.332021 DEF_30_CNT_SOCIAL_CIRCLE 0.332021 OBS_60_CNT_SOCIAL_CIRCLE 0.332021 DEF_60_CNT_SOCIAL_CIRCLE 0.332021 DAYS_LAST_PHONE_CHANGE 0.000325 FLAG_DOCUMENT_2 0.000000 FLAG_DOCUMENT_3 0.000000 FLAG_DOCUMENT_4 0.000000 FLAG_DOCUMENT_5 0.000000 FLAG_DOCUMENT_6 0.000000 FLAG_DOCUMENT_7 0.000000 FLAG_DOCUMENT_8 0.000000 FLAG_DOCUMENT_9 0.000000 FLAG_DOCUMENT_10 0.000000 FLAG_DOCUMENT_11 0.000000 FLAG_DOCUMENT_12 0.000000 FLAG_DOCUMENT_13 0.000000 FLAG_DOCUMENT_14 0.000000 FLAG_DOCUMENT_15 0.000000 FLAG_DOCUMENT_16 0.000000 FLAG_DOCUMENT_17 0.000000 FLAG_DOCUMENT_18 0.000000 FLAG_DOCUMENT_19 0.000000 FLAG_DOCUMENT_20 0.000000 FLAG_DOCUMENT_21 0.000000 AMT_REQ_CREDIT_BUREAU_HOUR 13.501631 AMT_REQ_CREDIT_BUREAU_DAY 13.501631 AMT_REQ_CREDIT_BUREAU_WEEK 13.501631 AMT_REQ_CREDIT_BUREAU_MON 13.501631 AMT_REQ_CREDIT_BUREAU_QRT 13.501631 AMT_REQ_CREDIT_BUREAU_YEAR 13.501631 dtype: float64
app.columns.get_loc("APARTMENTS_AVG"), app.columns.get_loc("EMERGENCYSTATE_MODE")
(44, 90)
app.drop(app.iloc[:,44:91].columns, axis =1, inplace = True)
app.shape
(307511, 75)
### Lets check the missing value entries
app.isnull().sum()/len(app)*100
SK_ID_CURR 0.000000 TARGET 0.000000 NAME_CONTRACT_TYPE 0.000000 CODE_GENDER 0.000000 FLAG_OWN_CAR 0.000000 FLAG_OWN_REALTY 0.000000 CNT_CHILDREN 0.000000 AMT_INCOME_TOTAL 0.000000 AMT_CREDIT 0.000000 AMT_ANNUITY 0.003902 AMT_GOODS_PRICE 0.090403 NAME_TYPE_SUITE 0.420148 NAME_INCOME_TYPE 0.000000 NAME_EDUCATION_TYPE 0.000000 NAME_FAMILY_STATUS 0.000000 NAME_HOUSING_TYPE 0.000000 REGION_POPULATION_RELATIVE 0.000000 DAYS_BIRTH 0.000000 DAYS_EMPLOYED 0.000000 DAYS_REGISTRATION 0.000000 DAYS_ID_PUBLISH 0.000000 OWN_CAR_AGE 65.990810 FLAG_MOBIL 0.000000 FLAG_EMP_PHONE 0.000000 FLAG_WORK_PHONE 0.000000 FLAG_CONT_MOBILE 0.000000 FLAG_PHONE 0.000000 FLAG_EMAIL 0.000000 OCCUPATION_TYPE 31.345545 CNT_FAM_MEMBERS 0.000650 REGION_RATING_CLIENT 0.000000 REGION_RATING_CLIENT_W_CITY 0.000000 WEEKDAY_APPR_PROCESS_START 0.000000 HOUR_APPR_PROCESS_START 0.000000 REG_REGION_NOT_LIVE_REGION 0.000000 REG_REGION_NOT_WORK_REGION 0.000000 LIVE_REGION_NOT_WORK_REGION 0.000000 REG_CITY_NOT_LIVE_CITY 0.000000 REG_CITY_NOT_WORK_CITY 0.000000 LIVE_CITY_NOT_WORK_CITY 0.000000 ORGANIZATION_TYPE 0.000000 EXT_SOURCE_1 56.381073 EXT_SOURCE_2 0.214626 EXT_SOURCE_3 19.825307 OBS_30_CNT_SOCIAL_CIRCLE 0.332021 DEF_30_CNT_SOCIAL_CIRCLE 0.332021 OBS_60_CNT_SOCIAL_CIRCLE 0.332021 DEF_60_CNT_SOCIAL_CIRCLE 0.332021 DAYS_LAST_PHONE_CHANGE 0.000325 FLAG_DOCUMENT_2 0.000000 FLAG_DOCUMENT_3 0.000000 FLAG_DOCUMENT_4 0.000000 FLAG_DOCUMENT_5 0.000000 FLAG_DOCUMENT_6 0.000000 FLAG_DOCUMENT_7 0.000000 FLAG_DOCUMENT_8 0.000000 FLAG_DOCUMENT_9 0.000000 FLAG_DOCUMENT_10 0.000000 FLAG_DOCUMENT_11 0.000000 FLAG_DOCUMENT_12 0.000000 FLAG_DOCUMENT_13 0.000000 FLAG_DOCUMENT_14 0.000000 FLAG_DOCUMENT_15 0.000000 FLAG_DOCUMENT_16 0.000000 FLAG_DOCUMENT_17 0.000000 FLAG_DOCUMENT_18 0.000000 FLAG_DOCUMENT_19 0.000000 FLAG_DOCUMENT_20 0.000000 FLAG_DOCUMENT_21 0.000000 AMT_REQ_CREDIT_BUREAU_HOUR 13.501631 AMT_REQ_CREDIT_BUREAU_DAY 13.501631 AMT_REQ_CREDIT_BUREAU_WEEK 13.501631 AMT_REQ_CREDIT_BUREAU_MON 13.501631 AMT_REQ_CREDIT_BUREAU_QRT 13.501631 AMT_REQ_CREDIT_BUREAU_YEAR 13.501631 dtype: float64
### Lets only check the columns names with missing entries using isna() and any()
app.columns[app.isna().any()]
Index(['AMT_ANNUITY', 'AMT_GOODS_PRICE', 'NAME_TYPE_SUITE', 'OWN_CAR_AGE',
'OCCUPATION_TYPE', 'CNT_FAM_MEMBERS', 'EXT_SOURCE_1', 'EXT_SOURCE_2',
'EXT_SOURCE_3', 'OBS_30_CNT_SOCIAL_CIRCLE', 'DEF_30_CNT_SOCIAL_CIRCLE',
'OBS_60_CNT_SOCIAL_CIRCLE', 'DEF_60_CNT_SOCIAL_CIRCLE',
'DAYS_LAST_PHONE_CHANGE', 'AMT_REQ_CREDIT_BUREAU_HOUR',
'AMT_REQ_CREDIT_BUREAU_DAY', 'AMT_REQ_CREDIT_BUREAU_WEEK',
'AMT_REQ_CREDIT_BUREAU_MON', 'AMT_REQ_CREDIT_BUREAU_QRT',
'AMT_REQ_CREDIT_BUREAU_YEAR'],
dtype='object')
app[app.columns[app.isna().any()]]
| AMT_ANNUITY | AMT_GOODS_PRICE | NAME_TYPE_SUITE | OWN_CAR_AGE | OCCUPATION_TYPE | CNT_FAM_MEMBERS | EXT_SOURCE_1 | EXT_SOURCE_2 | EXT_SOURCE_3 | OBS_30_CNT_SOCIAL_CIRCLE | DEF_30_CNT_SOCIAL_CIRCLE | OBS_60_CNT_SOCIAL_CIRCLE | DEF_60_CNT_SOCIAL_CIRCLE | DAYS_LAST_PHONE_CHANGE | AMT_REQ_CREDIT_BUREAU_HOUR | AMT_REQ_CREDIT_BUREAU_DAY | AMT_REQ_CREDIT_BUREAU_WEEK | AMT_REQ_CREDIT_BUREAU_MON | AMT_REQ_CREDIT_BUREAU_QRT | AMT_REQ_CREDIT_BUREAU_YEAR | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 24700.5 | 351000.0 | Unaccompanied | NaN | Laborers | 1.0 | 0.083037 | 0.262949 | 0.139376 | 2.0 | 2.0 | 2.0 | 2.0 | -1134.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 1 | 35698.5 | 1129500.0 | Family | NaN | Core staff | 2.0 | 0.311267 | 0.622246 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -828.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 2 | 6750.0 | 135000.0 | Unaccompanied | 26.0 | Laborers | 1.0 | NaN | 0.555912 | 0.729567 | 0.0 | 0.0 | 0.0 | 0.0 | -815.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 3 | 29686.5 | 297000.0 | Unaccompanied | NaN | Laborers | 2.0 | NaN | 0.650442 | NaN | 2.0 | 0.0 | 2.0 | 0.0 | -617.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 4 | 21865.5 | 513000.0 | Unaccompanied | NaN | Core staff | 1.0 | NaN | 0.322738 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1106.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 5 | 27517.5 | 454500.0 | Spouse, partner | NaN | Laborers | 2.0 | NaN | 0.354225 | 0.621226 | 0.0 | 0.0 | 0.0 | 0.0 | -2536.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 6 | 41301.0 | 1395000.0 | Unaccompanied | 17.0 | Accountants | 3.0 | 0.774761 | 0.724000 | 0.492060 | 1.0 | 0.0 | 1.0 | 0.0 | -1562.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 2.0 |
| 7 | 42075.0 | 1530000.0 | Unaccompanied | 8.0 | Managers | 2.0 | NaN | 0.714279 | 0.540654 | 2.0 | 0.0 | 2.0 | 0.0 | -1070.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 8 | 33826.5 | 913500.0 | Children | NaN | NaN | 2.0 | 0.587334 | 0.205747 | 0.751724 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 9 | 20250.0 | 405000.0 | Unaccompanied | NaN | Laborers | 1.0 | NaN | 0.746644 | NaN | 2.0 | 0.0 | 2.0 | 0.0 | -1673.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 10 | 21177.0 | 652500.0 | Unaccompanied | NaN | Core staff | 3.0 | 0.319760 | 0.651862 | 0.363945 | 0.0 | 0.0 | 0.0 | 0.0 | -844.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 11 | 10678.5 | 135000.0 | Children | NaN | NaN | 2.0 | 0.722044 | 0.555183 | 0.652897 | 0.0 | 0.0 | 0.0 | 0.0 | -2396.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 12 | 5881.5 | 67500.0 | Unaccompanied | NaN | Laborers | 2.0 | 0.464831 | 0.715042 | 0.176653 | 0.0 | 0.0 | 0.0 | 0.0 | -2370.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 13 | 28966.5 | 697500.0 | Unaccompanied | 23.0 | Drivers | 3.0 | NaN | 0.566907 | 0.770087 | 0.0 | 0.0 | 0.0 | 0.0 | -4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 14 | 32778.0 | 679500.0 | Unaccompanied | NaN | Laborers | 2.0 | 0.721940 | 0.642656 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -188.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 15 | 20160.0 | 247500.0 | Family | 17.0 | Laborers | 1.0 | 0.115634 | 0.346634 | 0.678568 | 0.0 | 0.0 | 0.0 | 0.0 | -925.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 16 | 26149.5 | 387000.0 | Unaccompanied | NaN | Drivers | 2.0 | NaN | 0.236378 | 0.062103 | 0.0 | 0.0 | 0.0 | 0.0 | -3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 |
| 17 | 13500.0 | 270000.0 | Unaccompanied | NaN | Laborers | 3.0 | NaN | 0.683513 | NaN | 4.0 | 0.0 | 4.0 | 0.0 | -2811.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 18 | 7875.0 | 157500.0 | Other_A | NaN | Laborers | 1.0 | NaN | 0.706428 | 0.556727 | 8.0 | 0.0 | 8.0 | 0.0 | -239.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 19 | 17563.5 | 454500.0 | Unaccompanied | NaN | Core staff | 2.0 | NaN | 0.586617 | 0.477649 | 0.0 | 0.0 | 0.0 | 0.0 | -1850.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 20 | 21375.0 | 427500.0 | Unaccompanied | 7.0 | Laborers | 2.0 | 0.565655 | 0.113375 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -296.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 21 | 37561.5 | 927000.0 | Unaccompanied | 14.0 | Sales staff | 3.0 | 0.437709 | 0.233767 | 0.542445 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 |
| 22 | 32521.5 | 450000.0 | Unaccompanied | NaN | Sales staff | 3.0 | NaN | 0.457143 | 0.358951 | 0.0 | 0.0 | 0.0 | 0.0 | -468.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 |
| 23 | 23850.0 | 225000.0 | Unaccompanied | NaN | NaN | 2.0 | NaN | 0.624305 | 0.669057 | 0.0 | 0.0 | 0.0 | 0.0 | -795.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 24 | 12703.5 | 247500.0 | Unaccompanied | 7.0 | Drivers | 4.0 | NaN | 0.786179 | 0.565608 | 1.0 | 1.0 | 1.0 | 0.0 | -4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 25 | 11074.5 | 225000.0 | Unaccompanied | NaN | Cleaning staff | 2.0 | 0.561948 | 0.651406 | 0.461482 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 26 | 27076.5 | 702000.0 | Unaccompanied | NaN | Cooking staff | 1.0 | NaN | 0.548477 | 0.190706 | 10.0 | 1.0 | 10.0 | 0.0 | -161.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 2.0 |
| 27 | 23827.5 | 270000.0 | Family | NaN | Laborers | 3.0 | NaN | 0.541124 | 0.659406 | 2.0 | 0.0 | 2.0 | 0.0 | -2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 28 | 57676.5 | 675000.0 | Unaccompanied | 1.0 | NaN | 1.0 | 0.600396 | 0.685011 | 0.524496 | 0.0 | 0.0 | 0.0 | 0.0 | -849.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 |
| 29 | 9000.0 | 180000.0 | Unaccompanied | NaN | Laborers | 1.0 | 0.297914 | 0.502779 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -599.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 30 | 24592.5 | 477000.0 | Unaccompanied | NaN | NaN | 2.0 | NaN | 0.479987 | 0.410103 | 0.0 | 0.0 | 0.0 | 0.0 | -1634.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 5.0 |
| 31 | 25033.5 | 360000.0 | Family | NaN | Private service staff | 2.0 | 0.274422 | 0.627300 | NaN | 2.0 | 0.0 | 2.0 | 0.0 | -397.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 5.0 |
| 32 | 20893.5 | 180000.0 | Unaccompanied | NaN | Laborers | 2.0 | NaN | 0.559467 | 0.798137 | 0.0 | 0.0 | 0.0 | 0.0 | -2766.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 33 | 39069.0 | 679500.0 | Unaccompanied | 3.0 | Drivers | 3.0 | NaN | 0.321745 | 0.411849 | 2.0 | 0.0 | 2.0 | 0.0 | -697.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 34 | 32895.0 | 1125000.0 | Unaccompanied | NaN | Core staff | 2.0 | NaN | 0.172498 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -3019.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 35 | 44509.5 | 450000.0 | Unaccompanied | NaN | Sales staff | 2.0 | NaN | 0.663158 | 0.678568 | 0.0 | 0.0 | 0.0 | 0.0 | -1285.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 36 | 23157.0 | 553500.0 | Unaccompanied | NaN | Private service staff | 4.0 | 0.842763 | 0.681699 | 0.754406 | 0.0 | 0.0 | 0.0 | 0.0 | -2411.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 37 | 15151.5 | 454500.0 | Unaccompanied | NaN | Drivers | 2.0 | 0.804586 | 0.719799 | 0.722393 | 0.0 | 0.0 | 0.0 | 0.0 | -1541.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 38 | 17338.5 | 225000.0 | Unaccompanied | NaN | NaN | 2.0 | NaN | 0.650765 | 0.751724 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 39 | 27000.0 | 540000.0 | Unaccompanied | 3.0 | Managers | 2.0 | NaN | 0.738053 | 0.605836 | 1.0 | 0.0 | 1.0 | 0.0 | -540.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 |
| 40 | 35028.0 | 855000.0 | Unaccompanied | NaN | Laborers | 2.0 | NaN | 0.306841 | 0.320163 | 0.0 | 0.0 | 0.0 | 0.0 | -1075.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 4.0 |
| 41 | 29196.0 | 540000.0 | Unaccompanied | NaN | Laborers | 2.0 | NaN | 0.037315 | NaN | 4.0 | 0.0 | 4.0 | 0.0 | -458.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 |
| 42 | 16258.5 | 238500.0 | Unaccompanied | NaN | Sales staff | 2.0 | 0.468208 | 0.674203 | 0.399676 | 1.0 | 0.0 | 1.0 | 0.0 | -1480.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 43 | 42970.5 | 675000.0 | Unaccompanied | NaN | NaN | 1.0 | NaN | 0.766138 | 0.684828 | 0.0 | 0.0 | 0.0 | 0.0 | -491.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 44 | 48280.5 | 598500.0 | Unaccompanied | NaN | NaN | 2.0 | NaN | 0.631519 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -556.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 45 | 9000.0 | 180000.0 | Family | NaN | Sales staff | 3.0 | NaN | 0.535542 | NaN | 1.0 | 1.0 | 1.0 | 1.0 | -462.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 46 | 17649.0 | 252000.0 | Family | NaN | NaN | 1.0 | NaN | 0.247665 | 0.475850 | 0.0 | 0.0 | 0.0 | 0.0 | -649.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 4.0 |
| 47 | 26838.0 | 225000.0 | Unaccompanied | NaN | Medicine staff | 2.0 | NaN | 0.089241 | 0.728141 | 4.0 | 0.0 | 4.0 | 0.0 | -1247.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 48 | 37255.5 | 1350000.0 | Unaccompanied | NaN | Managers | 2.0 | 0.710427 | 0.589187 | 0.466864 | 0.0 | 0.0 | 0.0 | 0.0 | -784.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 49 | 49927.5 | 1350000.0 | Unaccompanied | 3.0 | Laborers | 2.0 | NaN | 0.523934 | NaN | 1.0 | 1.0 | 1.0 | 1.0 | -1498.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 50 | 6750.0 | 135000.0 | Unaccompanied | NaN | Core staff | 2.0 | 0.656225 | 0.450850 | 0.479449 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 51 | 34596.0 | 675000.0 | Unaccompanied | 7.0 | Managers | 3.0 | 0.311510 | 0.713355 | 0.309275 | 2.0 | 0.0 | 2.0 | 0.0 | -1285.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 3.0 |
| 52 | 14661.0 | 454500.0 | Unaccompanied | 13.0 | NaN | 2.0 | 0.244562 | 0.705947 | 0.799297 | 4.0 | 0.0 | 4.0 | 0.0 | -466.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 53 | 16164.0 | 238500.0 | Unaccompanied | NaN | Core staff | 4.0 | 0.189596 | 0.702979 | 0.701696 | 0.0 | 0.0 | 0.0 | 0.0 | -570.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 |
| 54 | 32472.0 | 675000.0 | Unaccompanied | 8.0 | NaN | 2.0 | NaN | 0.662865 | 0.738020 | 0.0 | 0.0 | 0.0 | 0.0 | -462.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 55 | 45558.0 | 666000.0 | Unaccompanied | NaN | Managers | 2.0 | 0.552772 | 0.616637 | 0.070109 | 1.0 | 1.0 | 1.0 | 1.0 | -1547.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 4.0 |
| 56 | 15381.0 | 202500.0 | Family | NaN | NaN | 1.0 | NaN | 0.622708 | 0.169429 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 57 | 12375.0 | 247500.0 | Unaccompanied | NaN | Security staff | 2.0 | 0.237720 | 0.609135 | 0.513694 | 2.0 | 0.0 | 2.0 | 0.0 | -167.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 58 | 27265.5 | 517500.0 | Unaccompanied | 10.0 | Laborers | 2.0 | NaN | 0.256737 | 0.707699 | 0.0 | 0.0 | 0.0 | 0.0 | -112.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 3.0 |
| 59 | 46899.0 | 1129500.0 | Unaccompanied | 2.0 | Managers | 1.0 | NaN | 0.653597 | 0.339288 | 0.0 | 0.0 | 0.0 | 0.0 | -1377.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 60 | 86989.5 | 1588500.0 | Family | NaN | Accountants | 2.0 | NaN | 0.570666 | 0.697147 | 0.0 | 0.0 | 0.0 | 0.0 | -1572.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 1.0 |
| 61 | 44118.0 | 1080000.0 | Unaccompanied | NaN | Sales staff | 1.0 | NaN | 0.026541 | 0.434733 | 0.0 | 0.0 | 0.0 | 0.0 | -725.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 62 | 40189.5 | 810000.0 | Unaccompanied | 10.0 | NaN | 2.0 | NaN | 0.733051 | 0.234015 | 0.0 | 0.0 | 0.0 | 0.0 | -2385.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 63 | 10462.5 | 90000.0 | Family | NaN | NaN | 1.0 | 0.299606 | 0.664544 | 0.492060 | 0.0 | 0.0 | 0.0 | 0.0 | -280.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 |
| 64 | 9679.5 | 315000.0 | NaN | 1.0 | Drivers | 2.0 | NaN | 0.584887 | 0.095070 | 0.0 | 0.0 | 0.0 | 0.0 | -3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 65 | 40657.5 | 900000.0 | Unaccompanied | NaN | Core staff | 1.0 | 0.286783 | 0.647348 | 0.562060 | 4.0 | 0.0 | 4.0 | 0.0 | -295.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 8.0 |
| 66 | 43983.0 | 1035000.0 | Unaccompanied | 21.0 | Core staff | 2.0 | 0.796161 | 0.517270 | 0.429424 | 0.0 | 0.0 | 0.0 | 0.0 | -1594.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 67 | 13500.0 | 270000.0 | Unaccompanied | NaN | Laborers | 1.0 | 0.202477 | 0.561923 | 0.413597 | 0.0 | 0.0 | 0.0 | 0.0 | -662.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 68 | 22500.0 | 450000.0 | Unaccompanied | NaN | Sales staff | 3.0 | 0.411506 | 0.123888 | 0.832785 | NaN | NaN | NaN | NaN | -1711.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 |
| 69 | 21109.5 | 450000.0 | Unaccompanied | 20.0 | Laborers | 2.0 | NaN | 0.645438 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -2519.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 70 | 21109.5 | 450000.0 | Unaccompanied | NaN | Laborers | 4.0 | 0.357707 | 0.686505 | 0.394495 | 0.0 | 0.0 | 0.0 | 0.0 | -1003.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 |
| 71 | 24435.0 | 463500.0 | Unaccompanied | 22.0 | Laborers | 2.0 | 0.270766 | 0.707126 | 0.597192 | 2.0 | 1.0 | 2.0 | 1.0 | -2053.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 72 | 26140.5 | 459000.0 | Unaccompanied | NaN | Laborers | 3.0 | NaN | 0.570527 | 0.694093 | 1.0 | 0.0 | 1.0 | 0.0 | -1475.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 |
| 73 | 28894.5 | 675000.0 | Unaccompanied | NaN | Drivers | 3.0 | NaN | 0.368719 | 0.358951 | 7.0 | 0.0 | 7.0 | 0.0 | -1175.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 74 | 21775.5 | 675000.0 | Unaccompanied | NaN | Laborers | 2.0 | NaN | 0.569873 | 0.198620 | 0.0 | 0.0 | 0.0 | 0.0 | -1597.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 | 2.0 |
| 75 | 37800.0 | 1125000.0 | Unaccompanied | NaN | Cooking staff | 3.0 | NaN | 0.572064 | 0.191822 | 2.0 | 1.0 | 2.0 | 1.0 | -1230.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 76 | 6750.0 | 135000.0 | Unaccompanied | NaN | NaN | 2.0 | NaN | 0.585174 | 0.408359 | 0.0 | 0.0 | 0.0 | 0.0 | -1537.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 77 | 15781.5 | 256500.0 | Unaccompanied | NaN | Laborers | 2.0 | NaN | 0.550058 | 0.535276 | 2.0 | 0.0 | 2.0 | 0.0 | -92.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 78 | 28273.5 | 585000.0 | Unaccompanied | NaN | Core staff | 3.0 | 0.592701 | 0.488600 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 79 | 5301.0 | 90000.0 | Unaccompanied | NaN | NaN | 1.0 | NaN | 0.582735 | 0.452534 | 3.0 | 0.0 | 3.0 | 0.0 | -260.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 80 | 6750.0 | 135000.0 | Unaccompanied | NaN | Sales staff | 4.0 | 0.586698 | 0.304506 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1040.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 81 | 14593.5 | 252000.0 | Unaccompanied | NaN | NaN | 2.0 | NaN | 0.023952 | 0.720944 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 82 | 30280.5 | 679500.0 | Unaccompanied | 20.0 | NaN | 2.0 | NaN | 0.357342 | 0.644679 | 6.0 | 0.0 | 6.0 | 0.0 | -371.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 |
| 83 | 13500.0 | 270000.0 | Unaccompanied | 1.0 | Drivers | 2.0 | NaN | 0.597081 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -617.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 84 | 41076.0 | 679500.0 | Unaccompanied | NaN | NaN | 1.0 | NaN | 0.660579 | 0.342529 | 4.0 | 0.0 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 85 | 38443.5 | 643500.0 | Unaccompanied | 65.0 | Managers | 4.0 | 0.447675 | 0.495765 | 0.824595 | 0.0 | 0.0 | 0.0 | 0.0 | -1876.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 86 | 22072.5 | 283500.0 | Unaccompanied | 5.0 | High skill tech staff | 1.0 | NaN | 0.716212 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1585.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 87 | 10264.5 | 270000.0 | Unaccompanied | NaN | Laborers | 2.0 | 0.414794 | 0.661108 | 0.477649 | 1.0 | 0.0 | 1.0 | 0.0 | -2.0 | 0.0 | 0.0 | 0.0 | 6.0 | 0.0 | 0.0 |
| 88 | 16965.0 | 450000.0 | Unaccompanied | NaN | NaN | 2.0 | NaN | 0.718058 | 0.511892 | 4.0 | 0.0 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 89 | 30690.0 | 472500.0 | Unaccompanied | NaN | Waiters/barmen staff | 2.0 | 0.763137 | 0.644627 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -2591.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 90 | 23755.5 | 225000.0 | Unaccompanied | NaN | Managers | 2.0 | 0.765154 | 0.254760 | 0.411849 | 0.0 | 0.0 | 0.0 | 0.0 | -1733.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 4.0 |
| 91 | 31288.5 | 450000.0 | Unaccompanied | NaN | Sales staff | 5.0 | NaN | 0.756668 | 0.641368 | 3.0 | 0.0 | 3.0 | 0.0 | -546.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 92 | 25065.0 | 337500.0 | Unaccompanied | 21.0 | Laborers | 5.0 | NaN | 0.640549 | 0.328063 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 |
| 93 | 27954.0 | 720000.0 | Unaccompanied | 17.0 | Sales staff | 3.0 | 0.563323 | 0.608604 | 0.228883 | 1.0 | 0.0 | 1.0 | 0.0 | -1234.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 94 | 64107.0 | 900000.0 | Family | 2.0 | NaN | 1.0 | NaN | 0.432340 | 0.077499 | 0.0 | 0.0 | 0.0 | 0.0 | -591.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 95 | 6696.0 | 135000.0 | Unaccompanied | 11.0 | Low-skill Laborers | 1.0 | 0.475762 | 0.593019 | 0.789880 | 0.0 | 0.0 | 0.0 | 0.0 | -1981.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 96 | 22599.0 | 225000.0 | Unaccompanied | NaN | Laborers | 1.0 | 0.395724 | 0.154937 | 0.265049 | 0.0 | 0.0 | 0.0 | 0.0 | -227.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 97 | 14683.5 | 315000.0 | Spouse, partner | NaN | NaN | 2.0 | NaN | 0.334300 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -40.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 2.0 |
| 98 | 32017.5 | 900000.0 | Unaccompanied | NaN | Core staff | 2.0 | 0.671272 | 0.700274 | 0.071055 | 2.0 | 0.0 | 2.0 | 0.0 | -1083.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 99 | 26541.0 | 675000.0 | Unaccompanied | NaN | NaN | 1.0 | NaN | 0.626303 | NaN | 3.0 | 2.0 | 3.0 | 1.0 | 0.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 100 | 9000.0 | 180000.0 | Unaccompanied | NaN | Medicine staff | 2.0 | NaN | 0.500264 | 0.077499 | 0.0 | 0.0 | 0.0 | 0.0 | -149.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 101 | 28215.0 | 675000.0 | Unaccompanied | NaN | Core staff | 2.0 | 0.254352 | 0.169953 | 0.121408 | 1.0 | 0.0 | 1.0 | 0.0 | -17.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 102 | 26145.0 | 679500.0 | Unaccompanied | NaN | Low-skill Laborers | 2.0 | NaN | 0.586150 | 0.581484 | 5.0 | 2.0 | 5.0 | 2.0 | -319.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 103 | 26217.0 | 675000.0 | Unaccompanied | NaN | Core staff | 3.0 | 0.405564 | 0.047291 | 0.406617 | 5.0 | 1.0 | 5.0 | 1.0 | -663.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 104 | 19737.0 | 675000.0 | Unaccompanied | NaN | Security staff | 1.0 | NaN | 0.399366 | 0.673830 | 0.0 | 0.0 | 0.0 | 0.0 | -1689.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 105 | 28647.0 | 396000.0 | Unaccompanied | NaN | NaN | 1.0 | NaN | 0.710318 | 0.554947 | 0.0 | 0.0 | 0.0 | 0.0 | -1080.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 8.0 |
| 106 | 26208.0 | 238500.0 | Unaccompanied | NaN | NaN | 2.0 | NaN | 0.571331 | 0.554947 | 0.0 | 0.0 | 0.0 | 0.0 | -1165.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 107 | 9000.0 | 180000.0 | Family | NaN | NaN | 4.0 | NaN | 0.705093 | 0.574447 | 1.0 | 1.0 | 1.0 | 1.0 | -1091.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 108 | 5341.5 | 45000.0 | Unaccompanied | NaN | NaN | 2.0 | NaN | 0.687003 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -2279.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 109 | 6750.0 | 135000.0 | Unaccompanied | 5.0 | NaN | 3.0 | 0.479544 | 0.610207 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 110 | 30802.5 | 585000.0 | Unaccompanied | NaN | Sales staff | 2.0 | NaN | 0.282069 | 0.120641 | 0.0 | 0.0 | 0.0 | 0.0 | -56.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 111 | 45625.5 | 720000.0 | Unaccompanied | NaN | Realty agents | 1.0 | 0.339403 | 0.707972 | 0.452534 | 2.0 | 1.0 | 2.0 | 1.0 | -734.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 112 | 73611.0 | 1089000.0 | Unaccompanied | NaN | Cleaning staff | 1.0 | 0.774880 | 0.711289 | 0.597192 | 0.0 | 0.0 | 0.0 | 0.0 | -905.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 113 | 18810.0 | 270000.0 | Unaccompanied | NaN | Core staff | 2.0 | 0.548647 | 0.316755 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -591.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 114 | 9000.0 | 180000.0 | Unaccompanied | NaN | Secretaries | 2.0 | 0.329186 | 0.749241 | 0.694093 | 4.0 | 0.0 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 115 | 26271.0 | 319500.0 | Unaccompanied | NaN | Laborers | 2.0 | NaN | 0.720640 | 0.320163 | 0.0 | 0.0 | 0.0 | 0.0 | -1209.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 |
| 116 | 49356.0 | 1435500.0 | Unaccompanied | 9.0 | Laborers | 3.0 | NaN | 0.682017 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -2397.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 117 | 45625.5 | 720000.0 | Family | 2.0 | NaN | 2.0 | 0.886487 | 0.086719 | NaN | 12.0 | 0.0 | 12.0 | 0.0 | 0.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 118 | 29223.0 | 688500.0 | Unaccompanied | 5.0 | NaN | 2.0 | 0.667496 | 0.607562 | 0.572683 | 0.0 | 0.0 | 0.0 | 0.0 | -242.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 119 | 24016.5 | 261000.0 | Family | NaN | NaN | 3.0 | 0.567775 | 0.601408 | 0.096319 | 6.0 | 0.0 | 6.0 | 0.0 | -1868.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 3.0 |
| 120 | 33750.0 | 675000.0 | Unaccompanied | NaN | High skill tech staff | 2.0 | 0.370342 | 0.715861 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -120.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 121 | 27994.5 | 468000.0 | Spouse, partner | 7.0 | High skill tech staff | 3.0 | NaN | 0.064858 | 0.309275 | 2.0 | 0.0 | 1.0 | 0.0 | -1759.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 122 | 13500.0 | 270000.0 | Unaccompanied | NaN | Core staff | 2.0 | 0.659404 | 0.678125 | 0.683269 | 0.0 | 0.0 | 0.0 | 0.0 | -1499.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 123 | 30028.5 | 535500.0 | Unaccompanied | NaN | Sales staff | 1.0 | NaN | 0.611637 | NaN | 9.0 | 2.0 | 9.0 | 0.0 | -1282.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 124 | 16789.5 | 198000.0 | Family | 8.0 | Laborers | 2.0 | 0.647045 | 0.746486 | 0.739412 | 6.0 | 0.0 | 6.0 | 0.0 | -1782.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 125 | 12456.0 | 270000.0 | Unaccompanied | 13.0 | NaN | 2.0 | NaN | 0.282326 | 0.755740 | 2.0 | 0.0 | 2.0 | 0.0 | -909.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 126 | 22099.5 | 463500.0 | Unaccompanied | NaN | Laborers | 3.0 | 0.684696 | 0.410907 | 0.738020 | 1.0 | 0.0 | 1.0 | 0.0 | -1198.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 |
| 127 | 36459.0 | 675000.0 | Family | NaN | Medicine staff | 2.0 | 0.617716 | 0.660559 | 0.211551 | 0.0 | 0.0 | 0.0 | 0.0 | -2415.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 128 | 26374.5 | 445500.0 | Family | 4.0 | Low-skill Laborers | 2.0 | 0.053183 | 0.164463 | 0.092013 | 1.0 | 0.0 | 1.0 | 0.0 | -395.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 129 | 11772.0 | 144000.0 | Unaccompanied | NaN | Accountants | 1.0 | NaN | 0.695219 | 0.729567 | 0.0 | 0.0 | 0.0 | 0.0 | -398.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 130 | 9720.0 | 166500.0 | Unaccompanied | NaN | Sales staff | 2.0 | NaN | 0.165442 | 0.749022 | 0.0 | 0.0 | 0.0 | 0.0 | -1761.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 |
| 131 | 32526.0 | 967500.0 | Family | 15.0 | Drivers | 2.0 | NaN | 0.668020 | 0.353988 | 0.0 | 0.0 | 0.0 | 0.0 | -1192.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 |
| 132 | 9000.0 | 180000.0 | Spouse, partner | NaN | Drivers | 2.0 | 0.127393 | 0.494962 | 0.738020 | 0.0 | 0.0 | 0.0 | 0.0 | -329.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 133 | 21906.0 | 675000.0 | Unaccompanied | NaN | Laborers | 2.0 | NaN | 0.282078 | 0.565608 | 0.0 | 0.0 | 0.0 | 0.0 | -524.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 134 | 39127.5 | 945000.0 | Family | 65.0 | Medicine staff | 4.0 | NaN | 0.597823 | 0.746300 | 0.0 | 0.0 | 0.0 | 0.0 | -2703.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 |
| 135 | 61132.5 | 1755000.0 | Unaccompanied | NaN | NaN | 2.0 | 0.867872 | 0.147685 | 0.669057 | 3.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 |
| 136 | 27486.0 | 477000.0 | Unaccompanied | NaN | Core staff | 2.0 | NaN | 0.683703 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -2041.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 137 | 41800.5 | 1354500.0 | Unaccompanied | NaN | Sales staff | 2.0 | 0.545859 | 0.571250 | 0.789880 | 2.0 | 0.0 | 2.0 | 0.0 | -700.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 |
| 138 | 36747.0 | 675000.0 | Unaccompanied | NaN | Managers | 2.0 | 0.320322 | 0.631961 | 0.289611 | 0.0 | 0.0 | 0.0 | 0.0 | -106.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 139 | 13972.5 | 306000.0 | Family | NaN | Sales staff | 2.0 | NaN | 0.265312 | 0.317032 | 0.0 | 0.0 | 0.0 | 0.0 | -306.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 140 | 18216.0 | 472500.0 | Family | NaN | NaN | 1.0 | 0.593567 | 0.598243 | 0.232725 | 1.0 | 1.0 | 1.0 | 1.0 | -1594.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 141 | 19773.0 | 454500.0 | Unaccompanied | NaN | NaN | 1.0 | 0.656938 | 0.390993 | 0.095070 | 5.0 | 0.0 | 5.0 | 0.0 | -1691.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 142 | 43362.0 | 387000.0 | Unaccompanied | 3.0 | Core staff | 3.0 | NaN | 0.622030 | 0.328063 | 0.0 | 0.0 | 0.0 | 0.0 | -845.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 143 | 35568.0 | 1129500.0 | Family | 9.0 | NaN | 2.0 | 0.531106 | 0.646689 | 0.812823 | 0.0 | 0.0 | 0.0 | 0.0 | -396.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 144 | 15241.5 | 135000.0 | Unaccompanied | NaN | Core staff | 5.0 | NaN | 0.524818 | 0.156640 | 2.0 | 0.0 | 2.0 | 0.0 | -160.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 145 | 46170.0 | 427500.0 | Unaccompanied | NaN | NaN | 2.0 | NaN | 0.551308 | 0.161463 | 0.0 | 0.0 | 0.0 | 0.0 | -1914.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 146 | 26725.5 | 675000.0 | Unaccompanied | NaN | Core staff | 1.0 | 0.723940 | 0.636395 | 0.452534 | 1.0 | 0.0 | 1.0 | 0.0 | -1166.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 147 | 11250.0 | 225000.0 | Spouse, partner | NaN | Sales staff | 4.0 | NaN | 0.704793 | 0.565608 | 0.0 | 0.0 | 0.0 | 0.0 | -307.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 148 | 45067.5 | 1080000.0 | Unaccompanied | NaN | NaN | 3.0 | 0.580367 | 0.763649 | 0.329655 | 0.0 | 0.0 | 0.0 | 0.0 | -1683.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 149 | 31653.0 | 900000.0 | Unaccompanied | NaN | Laborers | 2.0 | NaN | 0.585291 | 0.816092 | 1.0 | 0.0 | 1.0 | 0.0 | -131.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 150 | 33309.0 | 297000.0 | Family | NaN | NaN | 3.0 | 0.319357 | 0.603655 | 0.595456 | 0.0 | 0.0 | 0.0 | 0.0 | -328.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 151 | 28917.0 | 679500.0 | Unaccompanied | NaN | NaN | 1.0 | 0.723371 | 0.765125 | 0.417100 | 0.0 | 0.0 | 0.0 | 0.0 | -2085.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 152 | 53329.5 | 675000.0 | Unaccompanied | 4.0 | Managers | 2.0 | 0.674832 | 0.616156 | 0.673830 | 0.0 | 0.0 | 0.0 | 0.0 | -1792.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 4.0 |
| 153 | 37800.0 | 1125000.0 | Unaccompanied | NaN | Accountants | 3.0 | 0.729090 | 0.509852 | 0.675413 | 1.0 | 0.0 | 1.0 | 0.0 | -1020.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 3.0 |
| 154 | 12667.5 | 166500.0 | Unaccompanied | NaN | Private service staff | 1.0 | NaN | 0.182171 | 0.443615 | 0.0 | 0.0 | 0.0 | 0.0 | -216.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 |
| 155 | 6750.0 | 135000.0 | Unaccompanied | NaN | Core staff | 2.0 | 0.464356 | 0.751869 | 0.420611 | 0.0 | 0.0 | 0.0 | 0.0 | -1933.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 156 | 23494.5 | 225000.0 | Unaccompanied | NaN | NaN | 1.0 | NaN | 0.600433 | 0.795803 | 0.0 | 0.0 | 0.0 | 0.0 | -1183.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 157 | 10903.5 | 148500.0 | Unaccompanied | NaN | NaN | 2.0 | NaN | 0.557348 | 0.771362 | 1.0 | 0.0 | 1.0 | 0.0 | -1792.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 |
| 158 | 13095.0 | 225000.0 | Unaccompanied | NaN | NaN | 1.0 | NaN | 0.641304 | 0.519097 | 4.0 | 0.0 | 4.0 | 0.0 | -2025.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 159 | 56290.5 | 1125000.0 | Unaccompanied | NaN | Core staff | 3.0 | 0.728092 | 0.702463 | 0.546023 | 0.0 | 0.0 | 0.0 | 0.0 | -573.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 |
| 160 | 14440.5 | 189000.0 | Unaccompanied | NaN | Sales staff | 1.0 | NaN | 0.010272 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -581.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 161 | 24781.5 | 238500.0 | Unaccompanied | 3.0 | Laborers | 2.0 | 0.534999 | 0.585859 | 0.788681 | 5.0 | 0.0 | 5.0 | 0.0 | -1161.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 162 | 17563.5 | 454500.0 | Unaccompanied | NaN | High skill tech staff | 1.0 | NaN | 0.688792 | 0.522697 | 0.0 | 0.0 | 0.0 | 0.0 | -2576.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 163 | 21037.5 | 225000.0 | Unaccompanied | NaN | Core staff | 1.0 | NaN | 0.086253 | 0.513694 | 0.0 | 0.0 | 0.0 | 0.0 | -122.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 164 | 15124.5 | 225000.0 | Unaccompanied | 15.0 | NaN | 1.0 | 0.731105 | 0.748854 | 0.508287 | 1.0 | 0.0 | 1.0 | 0.0 | -2553.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 6.0 |
| 165 | 15750.0 | 315000.0 | Unaccompanied | NaN | Laborers | 4.0 | 0.434878 | 0.111767 | 0.192942 | 0.0 | 0.0 | 0.0 | 0.0 | -215.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 |
| 166 | 9373.5 | 202500.0 | Unaccompanied | 8.0 | NaN | 1.0 | 0.356355 | 0.547773 | 0.749022 | 0.0 | 0.0 | 0.0 | 0.0 | -114.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 167 | 32125.5 | 675000.0 | Unaccompanied | 8.0 | Secretaries | 2.0 | 0.592547 | 0.593340 | 0.303146 | 0.0 | 0.0 | 0.0 | 0.0 | -1606.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 |
| 168 | 28692.0 | 450000.0 | Unaccompanied | NaN | Sales staff | 4.0 | 0.721761 | 0.472286 | NaN | 3.0 | 0.0 | 3.0 | 0.0 | -2575.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 169 | 32616.0 | 531000.0 | Unaccompanied | 1.0 | Drivers | 3.0 | NaN | 0.748916 | 0.639708 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 170 | 18891.0 | 225000.0 | Unaccompanied | NaN | Cleaning staff | 2.0 | NaN | 0.704424 | 0.276441 | 0.0 | 0.0 | 0.0 | 0.0 | -738.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 171 | 27193.5 | 450000.0 | Unaccompanied | NaN | NaN | 1.0 | NaN | 0.640041 | 0.694093 | 4.0 | 0.0 | 3.0 | 0.0 | -332.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 172 | 36747.0 | 675000.0 | Unaccompanied | NaN | Core staff | 2.0 | 0.764917 | 0.601560 | 0.350696 | 10.0 | 0.0 | 10.0 | 0.0 | -1754.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 6.0 |
| 173 | 6597.0 | 112500.0 | Unaccompanied | NaN | NaN | 1.0 | NaN | 0.121906 | 0.269286 | 2.0 | 0.0 | 2.0 | 0.0 | -632.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 5.0 |
| 174 | 11097.0 | 112500.0 | Other_B | NaN | NaN | 1.0 | NaN | 0.640514 | 0.544235 | 0.0 | 0.0 | 0.0 | 0.0 | -2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 175 | 30699.0 | 454500.0 | Unaccompanied | NaN | NaN | 3.0 | NaN | 0.171535 | 0.540654 | 0.0 | 0.0 | 0.0 | 0.0 | -7.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 |
| 176 | 26217.0 | 675000.0 | Unaccompanied | NaN | Laborers | 2.0 | NaN | 0.046216 | 0.549597 | 0.0 | 0.0 | 0.0 | 0.0 | -1111.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 177 | 25294.5 | 252000.0 | Unaccompanied | 12.0 | Drivers | 3.0 | NaN | 0.164259 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 178 | 22738.5 | 585000.0 | Spouse, partner | NaN | Waiters/barmen staff | 2.0 | NaN | 0.671783 | 0.593718 | 0.0 | 0.0 | 0.0 | 0.0 | -2709.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 179 | 29016.0 | 675000.0 | Family | NaN | Laborers | 3.0 | 0.342712 | 0.634455 | 0.706205 | 0.0 | 0.0 | 0.0 | 0.0 | -1127.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 2.0 |
| 180 | 27000.0 | 540000.0 | Unaccompanied | NaN | High skill tech staff | 5.0 | NaN | 0.372110 | 0.506484 | 0.0 | 0.0 | 0.0 | 0.0 | -429.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 181 | 25627.5 | 666000.0 | Unaccompanied | NaN | Core staff | 2.0 | NaN | 0.621978 | 0.744932 | 0.0 | 0.0 | 0.0 | 0.0 | -1488.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 182 | 49873.5 | 675000.0 | Unaccompanied | NaN | Cooking staff | 5.0 | NaN | 0.575086 | 0.307737 | 0.0 | 0.0 | 0.0 | 0.0 | -534.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 |
| 183 | 19930.5 | 225000.0 | Unaccompanied | NaN | Laborers | 4.0 | 0.549717 | 0.495366 | 0.581484 | 0.0 | 0.0 | 0.0 | 0.0 | -2690.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 184 | 28516.5 | 360000.0 | Unaccompanied | NaN | NaN | 3.0 | NaN | 0.500231 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -130.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 185 | 8172.0 | 180000.0 | Unaccompanied | 11.0 | NaN | 2.0 | NaN | 0.265312 | 0.641368 | 0.0 | 0.0 | 0.0 | 0.0 | -2028.0 | 0.0 | 0.0 | 0.0 | 5.0 | 0.0 | 5.0 |
| 186 | 6705.0 | 67500.0 | Unaccompanied | NaN | Sales staff | 2.0 | 0.620020 | 0.709453 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 187 | 25321.5 | 225000.0 | Family | NaN | Laborers | 1.0 | 0.521633 | 0.391436 | 0.427657 | 1.0 | 0.0 | 1.0 | 0.0 | -252.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 |
| 188 | 49050.0 | 765000.0 | Unaccompanied | 3.0 | Drivers | 1.0 | 0.667167 | 0.749409 | 0.337673 | 0.0 | 0.0 | 0.0 | 0.0 | -382.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 189 | 83515.5 | 2250000.0 | Unaccompanied | NaN | Core staff | 3.0 | 0.380092 | 0.693358 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -926.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 190 | 30568.5 | 909000.0 | Unaccompanied | NaN | Sales staff | 1.0 | NaN | 0.626339 | 0.607557 | 2.0 | 0.0 | 2.0 | 0.0 | -1898.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 |
| 191 | 77494.5 | 630000.0 | Unaccompanied | NaN | NaN | 1.0 | NaN | 0.592459 | 0.736623 | 0.0 | 0.0 | 0.0 | 0.0 | -584.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 |
| 192 | 36864.0 | 900000.0 | Unaccompanied | 7.0 | NaN | 4.0 | NaN | 0.598632 | 0.344155 | 4.0 | 2.0 | 4.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 193 | 28552.5 | 720000.0 | Unaccompanied | 7.0 | Sales staff | 4.0 | NaN | 0.722178 | 0.634706 | 0.0 | 0.0 | 0.0 | 0.0 | -1450.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 194 | 13500.0 | 270000.0 | Unaccompanied | NaN | Sales staff | 4.0 | 0.394163 | 0.636572 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 195 | 55719.0 | 900000.0 | Unaccompanied | NaN | Managers | 1.0 | 0.412944 | 0.634896 | 0.297087 | 0.0 | 0.0 | 0.0 | 0.0 | -964.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 196 | 32364.0 | 1102500.0 | Unaccompanied | NaN | Laborers | 3.0 | 0.741096 | 0.408871 | 0.425893 | 0.0 | 0.0 | 0.0 | 0.0 | -317.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 4.0 |
| 197 | 16047.0 | 454500.0 | Family | NaN | Medicine staff | 2.0 | NaN | 0.641012 | 0.759712 | 0.0 | 0.0 | 0.0 | 0.0 | -122.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 198 | 20250.0 | 405000.0 | Children | NaN | Sales staff | 2.0 | 0.621555 | 0.371543 | 0.180888 | 10.0 | 1.0 | 10.0 | 0.0 | -481.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 199 | 30276.0 | 787500.0 | Spouse, partner | 9.0 | Drivers | 3.0 | NaN | 0.497301 | 0.832785 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 307311 | 43654.5 | 945000.0 | Unaccompanied | 6.0 | NaN | 4.0 | NaN | 0.114563 | NaN | 2.0 | 0.0 | 1.0 | 0.0 | -358.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307312 | 40671.0 | 900000.0 | Unaccompanied | 17.0 | Laborers | 4.0 | 0.537335 | 0.462705 | 0.362277 | 0.0 | 0.0 | 0.0 | 0.0 | -308.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307313 | 34825.5 | 1075500.0 | Unaccompanied | NaN | NaN | 2.0 | NaN | 0.433607 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307314 | 19125.0 | 382500.0 | Unaccompanied | NaN | NaN | 2.0 | 0.864657 | 0.730342 | 0.816092 | 1.0 | 1.0 | 1.0 | 0.0 | -1451.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307315 | 20281.5 | 180000.0 | Unaccompanied | NaN | Medicine staff | 1.0 | NaN | 0.536108 | 0.483050 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 307316 | 38686.5 | 675000.0 | Unaccompanied | 3.0 | Laborers | 2.0 | NaN | 0.510459 | 0.713631 | 0.0 | 0.0 | 0.0 | 0.0 | -601.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 307317 | 21663.0 | 495000.0 | Unaccompanied | 3.0 | Medicine staff | 3.0 | 0.788482 | 0.409854 | 0.670652 | 0.0 | 0.0 | 0.0 | 0.0 | -826.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 307318 | 14017.5 | 135000.0 | Unaccompanied | NaN | NaN | 1.0 | NaN | 0.173023 | 0.312365 | 0.0 | 0.0 | 0.0 | 0.0 | -2298.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307319 | 34596.0 | 675000.0 | Unaccompanied | 21.0 | NaN | 4.0 | 0.327762 | 0.613194 | 0.432962 | 0.0 | 0.0 | 0.0 | 0.0 | -2707.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 |
| 307320 | 41400.0 | 675000.0 | Unaccompanied | NaN | Accountants | 1.0 | 0.896452 | 0.644973 | 0.636376 | 0.0 | 0.0 | 0.0 | 0.0 | -585.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307321 | 23643.0 | 675000.0 | Unaccompanied | NaN | Sales staff | 3.0 | 0.272370 | 0.510398 | 0.474051 | 1.0 | 0.0 | 1.0 | 0.0 | -85.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307322 | 30573.0 | 450000.0 | Unaccompanied | 3.0 | High skill tech staff | 2.0 | 0.586554 | 0.617924 | 0.384207 | 2.0 | 0.0 | 2.0 | 0.0 | -442.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307323 | 17019.0 | 315000.0 | Unaccompanied | NaN | Security staff | 1.0 | NaN | 0.054257 | 0.753067 | 0.0 | 0.0 | 0.0 | 0.0 | -2319.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307324 | 37800.0 | 1125000.0 | Unaccompanied | NaN | Core staff | 2.0 | NaN | 0.237334 | 0.810618 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307325 | 17091.0 | 238500.0 | Unaccompanied | NaN | NaN | 1.0 | 0.800134 | 0.683963 | 0.556727 | 1.0 | 0.0 | 1.0 | 0.0 | -1192.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 |
| 307326 | 25209.0 | 450000.0 | Unaccompanied | NaN | Sales staff | 2.0 | NaN | 0.779499 | 0.211551 | 4.0 | 1.0 | 4.0 | 1.0 | -1486.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307327 | 19557.0 | 351000.0 | Unaccompanied | NaN | NaN | 1.0 | NaN | 0.627490 | NaN | 4.0 | 0.0 | 4.0 | 0.0 | 0.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307328 | 15372.0 | 261000.0 | Unaccompanied | 11.0 | Laborers | 2.0 | NaN | 0.581443 | NaN | 6.0 | 0.0 | 6.0 | 0.0 | -1295.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307329 | 28957.5 | 315000.0 | Unaccompanied | NaN | Sales staff | 5.0 | 0.479087 | 0.267277 | NaN | 5.0 | 0.0 | 5.0 | 0.0 | -490.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307330 | 34087.5 | 292500.0 | Unaccompanied | 4.0 | Drivers | 3.0 | NaN | 0.795104 | 0.508287 | 4.0 | 0.0 | 4.0 | 0.0 | -2223.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 1.0 |
| 307331 | 44302.5 | 900000.0 | Unaccompanied | NaN | NaN | 2.0 | NaN | 0.441831 | 0.707699 | 2.0 | 2.0 | 2.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307332 | 9000.0 | 180000.0 | Unaccompanied | NaN | Managers | 3.0 | NaN | 0.483498 | 0.755740 | 2.0 | 0.0 | 2.0 | 0.0 | -656.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307333 | 39438.0 | 450000.0 | Family | 13.0 | NaN | 2.0 | NaN | 0.460010 | 0.707699 | 0.0 | 0.0 | 0.0 | 0.0 | -597.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307334 | 17095.5 | 450000.0 | Unaccompanied | NaN | Laborers | 2.0 | NaN | 0.661955 | 0.754406 | 2.0 | 0.0 | 1.0 | 0.0 | -1266.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 307335 | 18418.5 | 567000.0 | Unaccompanied | NaN | Laborers | 2.0 | NaN | 0.650611 | 0.730987 | 0.0 | 0.0 | 0.0 | 0.0 | -1528.0 | 0.0 | 0.0 | 0.0 | 4.0 | 0.0 | 1.0 |
| 307336 | 18022.5 | 454500.0 | Unaccompanied | NaN | Core staff | 2.0 | 0.902913 | 0.162192 | 0.736623 | 0.0 | 0.0 | 0.0 | 0.0 | -1318.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 |
| 307337 | 31018.5 | 922500.0 | Children | NaN | NaN | 2.0 | 0.793389 | 0.747837 | 0.746300 | 3.0 | 1.0 | 3.0 | 0.0 | -747.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307338 | 48298.5 | 679500.0 | Unaccompanied | NaN | NaN | 2.0 | 0.932105 | 0.515015 | 0.531686 | 0.0 | 0.0 | 0.0 | 0.0 | -2350.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 307339 | 30150.0 | 540000.0 | Unaccompanied | 2.0 | Managers | 3.0 | 0.767047 | 0.687107 | 0.263647 | 0.0 | 0.0 | 0.0 | 0.0 | -2661.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307340 | 26118.0 | 481500.0 | Unaccompanied | 13.0 | Sales staff | 2.0 | 0.592101 | 0.619131 | 0.046951 | 0.0 | 0.0 | 0.0 | 0.0 | -886.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 3.0 |
| 307341 | 14661.0 | 454500.0 | Unaccompanied | NaN | NaN | 2.0 | NaN | 0.602001 | 0.231439 | 2.0 | 1.0 | 2.0 | 1.0 | -1397.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307342 | 32224.5 | 958500.0 | Unaccompanied | NaN | NaN | 2.0 | NaN | 0.501954 | 0.743559 | 4.0 | 1.0 | 3.0 | 1.0 | -1138.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307343 | 33885.0 | 661500.0 | Unaccompanied | NaN | NaN | 1.0 | NaN | 0.150020 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307344 | 12321.0 | 157500.0 | Unaccompanied | NaN | Cooking staff | 1.0 | NaN | 0.039031 | 0.365617 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307345 | 24718.5 | 702000.0 | Unaccompanied | 11.0 | Managers | 2.0 | NaN | 0.350089 | 0.265049 | 0.0 | 0.0 | 0.0 | 0.0 | -1560.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 307346 | 33421.5 | 495000.0 | Group of people | NaN | Sales staff | 3.0 | 0.385153 | 0.642300 | 0.631355 | 1.0 | 0.0 | 1.0 | 0.0 | -2811.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 6.0 |
| 307347 | 21739.5 | 225000.0 | Unaccompanied | NaN | Accountants | 2.0 | NaN | 0.293235 | 0.519097 | 8.0 | 0.0 | 8.0 | 0.0 | -834.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307348 | 52690.5 | 675000.0 | Family | NaN | NaN | 2.0 | NaN | 0.638503 | 0.733815 | 2.0 | 0.0 | 2.0 | 0.0 | -271.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307349 | 30928.5 | 652500.0 | Unaccompanied | 6.0 | Laborers | 2.0 | NaN | 0.744449 | 0.691021 | 4.0 | 0.0 | 4.0 | 0.0 | -2026.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307350 | 21091.5 | 598500.0 | Unaccompanied | 8.0 | NaN | 2.0 | NaN | 0.761364 | 0.821443 | 0.0 | 0.0 | 0.0 | 0.0 | -1720.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 3.0 |
| 307351 | 36000.0 | 454500.0 | Unaccompanied | 3.0 | Managers | 4.0 | NaN | 0.534509 | 0.669057 | 4.0 | 0.0 | 4.0 | 0.0 | -1629.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 307352 | 14364.0 | 135000.0 | Unaccompanied | NaN | NaN | 2.0 | 0.702671 | 0.111986 | 0.641368 | 0.0 | 0.0 | 0.0 | 0.0 | -734.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307353 | 21339.0 | 337500.0 | Unaccompanied | NaN | NaN | 1.0 | NaN | 0.269471 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307354 | 6781.5 | 112500.0 | Family | NaN | Managers | 2.0 | 0.572989 | 0.712419 | 0.579727 | 1.0 | 0.0 | 1.0 | 0.0 | -242.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 |
| 307355 | 17019.0 | 315000.0 | Unaccompanied | NaN | Cooking staff | 2.0 | NaN | 0.756918 | 0.267869 | 1.0 | 0.0 | 1.0 | 0.0 | -183.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 |
| 307356 | 19791.0 | 472500.0 | Unaccompanied | 11.0 | Drivers | 2.0 | 0.511457 | 0.607572 | 0.605836 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307357 | 28570.5 | 900000.0 | Unaccompanied | 12.0 | Managers | 1.0 | 0.255921 | 0.570693 | 0.210350 | 0.0 | 0.0 | 0.0 | 0.0 | -5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307358 | 16051.5 | 274500.0 | Unaccompanied | 9.0 | Security staff | 4.0 | 0.653115 | 0.418337 | 0.758393 | 0.0 | 0.0 | 0.0 | 0.0 | -1907.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 |
| 307359 | 21906.0 | 675000.0 | Family | 14.0 | Security staff | 2.0 | 0.383096 | 0.612929 | 0.475850 | 1.0 | 0.0 | 1.0 | 0.0 | -1789.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307360 | 15993.0 | 180000.0 | Unaccompanied | 11.0 | Sales staff | 2.0 | NaN | 0.229327 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -134.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307361 | 16956.0 | 229500.0 | Unaccompanied | 23.0 | NaN | 2.0 | 0.748347 | 0.609208 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307362 | 12717.0 | 270000.0 | Unaccompanied | NaN | NaN | 2.0 | NaN | 0.704516 | 0.370650 | 1.0 | 1.0 | 1.0 | 1.0 | -947.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 307363 | 21519.0 | 553500.0 | Unaccompanied | 7.0 | NaN | 2.0 | 0.791993 | 0.266520 | 0.360613 | 3.0 | 1.0 | 3.0 | 1.0 | -1463.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 5.0 |
| 307364 | 30631.5 | 679500.0 | Unaccompanied | NaN | Sales staff | 2.0 | 0.549216 | 0.081689 | 0.154744 | 0.0 | 0.0 | 0.0 | 0.0 | -181.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 8.0 |
| 307365 | 58770.0 | 743863.5 | Unaccompanied | NaN | Laborers | 2.0 | NaN | 0.406252 | NaN | 5.0 | 1.0 | 5.0 | 1.0 | -413.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307366 | 19386.0 | 454500.0 | Unaccompanied | NaN | Core staff | 4.0 | NaN | 0.641872 | 0.417100 | 0.0 | 0.0 | 0.0 | 0.0 | -1688.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307367 | 17199.0 | 351000.0 | Unaccompanied | NaN | Sales staff | 3.0 | NaN | 0.678268 | NaN | 7.0 | 1.0 | 7.0 | 1.0 | -236.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307368 | 15943.5 | 238500.0 | Unaccompanied | NaN | Managers | 4.0 | 0.409632 | 0.600496 | 0.652897 | 0.0 | 0.0 | 0.0 | 0.0 | -1626.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 |
| 307369 | 42642.0 | 1350000.0 | Spouse, partner | NaN | NaN | 2.0 | NaN | 0.662459 | 0.614414 | 1.0 | 0.0 | 1.0 | 0.0 | -1392.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307370 | 28975.5 | 823500.0 | Unaccompanied | NaN | NaN | 2.0 | NaN | 0.285898 | 0.468660 | 5.0 | 0.0 | 5.0 | 0.0 | -2218.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 6.0 |
| 307371 | 39676.5 | 675000.0 | Family | 8.0 | NaN | 1.0 | NaN | 0.572739 | 0.657784 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 | 0.0 |
| 307372 | 9000.0 | 180000.0 | Unaccompanied | NaN | Sales staff | 1.0 | 0.131486 | 0.135915 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -54.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307373 | 14391.0 | 148500.0 | Unaccompanied | NaN | Laborers | 3.0 | 0.194661 | 0.309629 | 0.355639 | 5.0 | 0.0 | 5.0 | 0.0 | -1298.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 8.0 |
| 307374 | 66757.5 | 900000.0 | Unaccompanied | 8.0 | Drivers | 2.0 | NaN | 0.758844 | 0.408359 | 0.0 | 0.0 | 0.0 | 0.0 | -3384.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 307375 | 6750.0 | 135000.0 | Family | NaN | Sales staff | 2.0 | NaN | 0.472924 | 0.853731 | 0.0 | 0.0 | 0.0 | 0.0 | -426.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 307376 | 16200.0 | 315000.0 | Family | NaN | Laborers | 3.0 | 0.173754 | 0.582720 | 0.279335 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307377 | 20943.0 | 283500.0 | Unaccompanied | NaN | NaN | 1.0 | NaN | 0.163187 | NaN | 9.0 | 1.0 | 9.0 | 0.0 | -4.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307378 | 42574.5 | 450000.0 | Unaccompanied | NaN | Medicine staff | 2.0 | NaN | 0.661451 | 0.259468 | 0.0 | 0.0 | 0.0 | 0.0 | -1075.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 |
| 307379 | 16884.0 | 139500.0 | Unaccompanied | NaN | Low-skill Laborers | 1.0 | 0.196288 | 0.322949 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1525.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307380 | 29389.5 | 720000.0 | Unaccompanied | 2.0 | Laborers | 2.0 | 0.359846 | 0.663085 | NaN | 6.0 | 3.0 | 6.0 | 2.0 | -1570.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 307381 | 16456.5 | 225000.0 | Unaccompanied | NaN | Laborers | 2.0 | NaN | 0.288490 | 0.540654 | 2.0 | 1.0 | 2.0 | 1.0 | -323.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307382 | 42169.5 | 1255500.0 | Unaccompanied | 11.0 | High skill tech staff | 3.0 | 0.635751 | 0.594390 | 0.629674 | 1.0 | 0.0 | 1.0 | 0.0 | -937.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307383 | 33444.0 | 378000.0 | Unaccompanied | NaN | Laborers | 3.0 | NaN | 0.146779 | 0.133429 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307384 | 13500.0 | 270000.0 | Unaccompanied | NaN | Drivers | 2.0 | NaN | 0.674328 | 0.719491 | 1.0 | 0.0 | 1.0 | 0.0 | -1922.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 307385 | 9000.0 | 180000.0 | Unaccompanied | 16.0 | Sales staff | 4.0 | 0.413955 | 0.616891 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -152.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307386 | 17653.5 | 175500.0 | Unaccompanied | NaN | NaN | 1.0 | 0.786014 | 0.200589 | 0.176653 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 7.0 |
| 307387 | 56092.5 | 900000.0 | Other_B | NaN | NaN | 5.0 | NaN | NaN | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1780.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307388 | 23989.5 | 405000.0 | Unaccompanied | 30.0 | NaN | 3.0 | 0.379638 | 0.357649 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -266.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307389 | 33034.5 | 859500.0 | Unaccompanied | NaN | Drivers | 2.0 | 0.407285 | 0.743712 | 0.604113 | 0.0 | 0.0 | 0.0 | 0.0 | -2115.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307390 | 15111.0 | 225000.0 | Unaccompanied | NaN | NaN | 2.0 | NaN | 0.312901 | 0.832785 | 0.0 | 0.0 | 0.0 | 0.0 | -301.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307391 | 21510.0 | 540000.0 | Unaccompanied | NaN | Core staff | 1.0 | NaN | 0.602263 | 0.680139 | 3.0 | 0.0 | 3.0 | 0.0 | -867.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 307392 | 77809.5 | 1305000.0 | Unaccompanied | NaN | NaN | 2.0 | NaN | 0.746573 | 0.515495 | 3.0 | 0.0 | 3.0 | 0.0 | -1471.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307393 | 15921.0 | 544500.0 | Unaccompanied | 7.0 | NaN | 2.0 | 0.732839 | 0.677059 | 0.379100 | 1.0 | 0.0 | 1.0 | 0.0 | -1025.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 8.0 |
| 307394 | 19588.5 | 162000.0 | Unaccompanied | NaN | NaN | 2.0 | NaN | 0.426249 | 0.465069 | 2.0 | 0.0 | 2.0 | 0.0 | -842.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307395 | 49513.5 | 481500.0 | Unaccompanied | NaN | Laborers | 2.0 | 0.784226 | 0.548645 | 0.600658 | 7.0 | 0.0 | 7.0 | 0.0 | -1193.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 4.0 |
| 307396 | 29655.0 | 270000.0 | Unaccompanied | NaN | Drivers | 1.0 | 0.237427 | 0.544743 | 0.443615 | 1.0 | 0.0 | 1.0 | 0.0 | -900.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 307397 | 22171.5 | 540000.0 | Unaccompanied | 28.0 | NaN | 2.0 | NaN | 0.382095 | 0.754406 | 0.0 | 0.0 | 0.0 | 0.0 | -1648.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307398 | 8239.5 | 229500.0 | Unaccompanied | NaN | NaN | 1.0 | NaN | 0.353855 | 0.484851 | 0.0 | 0.0 | 0.0 | 0.0 | -1518.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 | 3.0 |
| 307399 | 21051.0 | 720000.0 | Unaccompanied | NaN | Cooking staff | 4.0 | 0.529913 | 0.598837 | 0.656158 | 2.0 | 0.0 | 2.0 | 0.0 | -894.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | 2.0 |
| 307400 | 5296.5 | 45000.0 | Unaccompanied | NaN | Core staff | 2.0 | 0.264599 | 0.684615 | NaN | 5.0 | 0.0 | 5.0 | 0.0 | -1386.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307401 | 47385.0 | 1345500.0 | Unaccompanied | 9.0 | NaN | 2.0 | NaN | 0.266520 | 0.357293 | 0.0 | 0.0 | 0.0 | 0.0 | -1695.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 307402 | 19125.0 | 382500.0 | Unaccompanied | NaN | NaN | 1.0 | NaN | 0.165364 | 0.644679 | NaN | NaN | NaN | NaN | -633.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 |
| 307403 | 14751.0 | 225000.0 | Unaccompanied | NaN | Managers | 1.0 | 0.874200 | 0.794105 | 0.723837 | 0.0 | 0.0 | 0.0 | 0.0 | -2897.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 3.0 |
| 307404 | 21906.0 | 675000.0 | Unaccompanied | NaN | NaN | 1.0 | NaN | 0.690215 | 0.303146 | 0.0 | 0.0 | 0.0 | 0.0 | -609.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307405 | 26419.5 | 373500.0 | Unaccompanied | NaN | NaN | 2.0 | NaN | 0.310433 | NaN | 2.0 | 0.0 | 2.0 | 0.0 | -391.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307406 | 13747.5 | 180000.0 | Unaccompanied | NaN | NaN | 1.0 | NaN | 0.194540 | 0.484851 | 1.0 | 1.0 | 1.0 | 1.0 | -1696.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307407 | 47673.0 | 643500.0 | Spouse, partner | 4.0 | Sales staff | 3.0 | 0.766549 | 0.696695 | 0.624615 | 3.0 | 2.0 | 3.0 | 1.0 | -572.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 |
| 307408 | 18855.0 | 180000.0 | Unaccompanied | 3.0 | Medicine staff | 3.0 | 0.345967 | 0.665586 | 0.605836 | 0.0 | 0.0 | 0.0 | 0.0 | -617.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 |
| 307409 | 39100.5 | 1237500.0 | Unaccompanied | NaN | Core staff | 2.0 | 0.657671 | 0.557887 | 0.477649 | 3.0 | 0.0 | 3.0 | 0.0 | -1285.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307410 | 8059.5 | 180000.0 | Unaccompanied | NaN | NaN | 1.0 | NaN | 0.003404 | 0.286652 | 3.0 | 0.0 | 2.0 | 0.0 | -1697.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307411 | 8734.5 | 112500.0 | Unaccompanied | NaN | NaN | 2.0 | 0.712351 | 0.551659 | NaN | 4.0 | 0.0 | 4.0 | 0.0 | -1723.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307412 | 29034.0 | 900000.0 | Unaccompanied | NaN | NaN | 2.0 | 0.371031 | 0.705375 | 0.652897 | 0.0 | 0.0 | 0.0 | 0.0 | -1519.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307413 | 14242.5 | 225000.0 | Spouse, partner | NaN | Core staff | 2.0 | 0.682609 | 0.669174 | 0.665855 | 0.0 | 0.0 | 0.0 | 0.0 | -2852.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307414 | 31653.0 | 900000.0 | Family | 13.0 | Laborers | 4.0 | NaN | 0.443849 | 0.678568 | 2.0 | 0.0 | 2.0 | 0.0 | -1193.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 307415 | 30204.0 | 508500.0 | Unaccompanied | 6.0 | Drivers | 2.0 | NaN | 0.162231 | 0.835777 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307416 | 21982.5 | 270000.0 | Unaccompanied | 20.0 | High skill tech staff | 1.0 | 0.347266 | 0.359983 | 0.678568 | 5.0 | 2.0 | 5.0 | 2.0 | -955.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307417 | 16645.5 | 270000.0 | Unaccompanied | NaN | NaN | 1.0 | NaN | 0.319830 | 0.617826 | 4.0 | 0.0 | 4.0 | 0.0 | -1746.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 |
| 307418 | 22747.5 | 292500.0 | Unaccompanied | NaN | Sales staff | 2.0 | 0.682714 | 0.499351 | 0.591977 | 9.0 | 0.0 | 9.0 | 0.0 | -2508.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | 8.0 |
| 307419 | 22500.0 | 450000.0 | Unaccompanied | NaN | Medicine staff | 3.0 | 0.598464 | 0.619409 | 0.417100 | 0.0 | 0.0 | 0.0 | 0.0 | -1195.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 3.0 |
| 307420 | 48847.5 | 1282500.0 | Unaccompanied | NaN | NaN | 2.0 | NaN | 0.710066 | 0.497469 | 0.0 | 0.0 | 0.0 | 0.0 | -2054.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307421 | 9751.5 | 144000.0 | Unaccompanied | 1.0 | NaN | 2.0 | NaN | 0.333707 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -282.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 307422 | 68643.0 | 1800000.0 | Family | NaN | NaN | 2.0 | 0.724400 | 0.668457 | 0.738020 | 4.0 | 0.0 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307423 | 7632.0 | 94500.0 | Unaccompanied | NaN | NaN | 1.0 | 0.323674 | 0.134254 | 0.644679 | 5.0 | 0.0 | 5.0 | 0.0 | -1366.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 |
| 307424 | 16326.0 | 225000.0 | Unaccompanied | NaN | NaN | 2.0 | NaN | 0.715572 | 0.431192 | 0.0 | 0.0 | 0.0 | 0.0 | -561.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | 4.0 |
| 307425 | 22500.0 | 450000.0 | Unaccompanied | 7.0 | Drivers | 4.0 | 0.216368 | 0.414246 | 0.384207 | 0.0 | 0.0 | 0.0 | 0.0 | -1911.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307426 | 25078.5 | 463500.0 | Unaccompanied | NaN | NaN | 2.0 | NaN | 0.220484 | 0.387625 | 2.0 | 1.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 4.0 |
| 307427 | 46786.5 | 1147500.0 | Family | 21.0 | Cleaning staff | 2.0 | 0.475918 | 0.577996 | 0.789880 | 0.0 | 0.0 | 0.0 | 0.0 | -2040.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307428 | 40860.0 | 1102500.0 | Unaccompanied | NaN | NaN | 1.0 | 0.662429 | 0.645418 | 0.510090 | 12.0 | 0.0 | 12.0 | 0.0 | -1469.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 |
| 307429 | 22738.5 | 585000.0 | Unaccompanied | NaN | Core staff | 1.0 | NaN | 0.699373 | 0.171468 | 0.0 | 0.0 | 0.0 | 0.0 | -589.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307430 | 11034.0 | 135000.0 | Unaccompanied | NaN | NaN | 2.0 | 0.890056 | 0.355126 | 0.363945 | 0.0 | 0.0 | 0.0 | 0.0 | -2562.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 307431 | 18256.5 | 270000.0 | Unaccompanied | NaN | NaN | 2.0 | 0.234345 | 0.203856 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1101.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307432 | 42934.5 | 679500.0 | Unaccompanied | NaN | Drivers | 2.0 | 0.550233 | 0.655284 | 0.235311 | 1.0 | 0.0 | 1.0 | 0.0 | -124.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307433 | 7731.0 | 90000.0 | Unaccompanied | NaN | NaN | 1.0 | 0.149808 | 0.182723 | 0.434733 | 0.0 | 0.0 | 0.0 | 0.0 | -170.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 307434 | 16015.5 | 153000.0 | Unaccompanied | 10.0 | NaN | 2.0 | NaN | 0.092283 | 0.739412 | 0.0 | 0.0 | 0.0 | 0.0 | -1121.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307435 | 19737.0 | 675000.0 | Unaccompanied | 2.0 | Managers | 2.0 | NaN | 0.631091 | 0.680139 | 0.0 | 0.0 | 0.0 | 0.0 | -2248.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307436 | 17064.0 | 180000.0 | Spouse, partner | NaN | Sales staff | 4.0 | 0.306679 | 0.662811 | 0.783832 | 6.0 | 0.0 | 6.0 | 0.0 | -2265.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307437 | 12658.5 | 180000.0 | Unaccompanied | 16.0 | Cleaning staff | 1.0 | NaN | 0.622929 | 0.689479 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 |
| 307438 | 42142.5 | 1125000.0 | Unaccompanied | NaN | Core staff | 1.0 | 0.424250 | 0.727863 | 0.392774 | 5.0 | 1.0 | 5.0 | 0.0 | -834.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 |
| 307439 | 50386.5 | 900000.0 | Unaccompanied | NaN | Managers | 2.0 | NaN | 0.716767 | 0.401407 | 1.0 | 0.0 | 1.0 | 0.0 | -15.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307440 | 45751.5 | 661500.0 | Unaccompanied | NaN | Managers | 2.0 | 0.794982 | 0.653572 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -406.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307441 | 24939.0 | 225000.0 | Unaccompanied | NaN | NaN | 2.0 | NaN | 0.500401 | 0.549597 | 0.0 | 0.0 | 0.0 | 0.0 | -1582.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 |
| 307442 | 9580.5 | 90000.0 | Family | 3.0 | Managers | 3.0 | 0.541523 | 0.511092 | 0.683269 | 0.0 | 0.0 | 0.0 | 0.0 | -1406.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 307443 | 44559.0 | 1111500.0 | Unaccompanied | NaN | NaN | 2.0 | NaN | 0.683457 | 0.574447 | 0.0 | 0.0 | 0.0 | 0.0 | -105.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307444 | 13500.0 | 270000.0 | Unaccompanied | NaN | NaN | 4.0 | 0.523651 | 0.452707 | NaN | 6.0 | 0.0 | 6.0 | 0.0 | -414.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307445 | 42075.0 | 990000.0 | Unaccompanied | 30.0 | NaN | 2.0 | 0.851707 | 0.268981 | 0.396220 | 0.0 | 0.0 | 0.0 | 0.0 | -344.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307446 | 40671.0 | 900000.0 | Unaccompanied | NaN | Drivers | 1.0 | NaN | 0.348737 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -243.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307447 | 22527.0 | 472500.0 | Family | NaN | NaN | 2.0 | NaN | 0.600160 | 0.621226 | 0.0 | 0.0 | 0.0 | 0.0 | -1023.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 3.0 |
| 307448 | 32746.5 | 450000.0 | Unaccompanied | NaN | Laborers | 3.0 | 0.073452 | 0.329708 | 0.360613 | 0.0 | 0.0 | 0.0 | 0.0 | -324.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307449 | 38974.5 | 1053000.0 | Unaccompanied | 15.0 | Sales staff | 3.0 | 0.637365 | 0.599436 | 0.306202 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307450 | 21924.0 | 315000.0 | Unaccompanied | NaN | NaN | 1.0 | 0.764561 | 0.312168 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -2950.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307451 | 25407.0 | 450000.0 | Unaccompanied | 13.0 | Core staff | 3.0 | NaN | 0.253372 | 0.701696 | 5.0 | 1.0 | 5.0 | 0.0 | -1938.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307452 | 46926.0 | 1350000.0 | Unaccompanied | 14.0 | NaN | 4.0 | 0.591136 | 0.541303 | 0.754406 | 0.0 | 0.0 | 0.0 | 0.0 | -741.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 1.0 |
| 307453 | 24412.5 | 450000.0 | Unaccompanied | NaN | Sales staff | 3.0 | 0.171788 | 0.092387 | 0.425893 | 0.0 | 0.0 | 0.0 | 0.0 | -285.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307454 | 39078.0 | 1332000.0 | Unaccompanied | NaN | Security staff | 2.0 | 0.351204 | 0.661427 | 0.591977 | 0.0 | 0.0 | 0.0 | 0.0 | -390.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307455 | 15165.0 | 225000.0 | Unaccompanied | NaN | Sales staff | 3.0 | NaN | 0.427019 | 0.652897 | 0.0 | 0.0 | 0.0 | 0.0 | -2615.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307456 | 15075.0 | 270000.0 | Unaccompanied | 5.0 | Cleaning staff | 2.0 | 0.823222 | 0.534302 | 0.723837 | 0.0 | 0.0 | 0.0 | 0.0 | -2299.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 307457 | 18000.0 | 360000.0 | Unaccompanied | NaN | Sales staff | 4.0 | NaN | 0.680098 | 0.638044 | 0.0 | 0.0 | 0.0 | 0.0 | -2326.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 1.0 |
| 307458 | 23364.0 | 225000.0 | Unaccompanied | NaN | Cooking staff | 2.0 | 0.574278 | 0.753453 | 0.832785 | 0.0 | 0.0 | 0.0 | 0.0 | -1635.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307459 | 49095.0 | 787500.0 | Unaccompanied | 12.0 | Laborers | 2.0 | 0.122883 | 0.421987 | NaN | 2.0 | 0.0 | 2.0 | 0.0 | -125.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307460 | 24354.0 | 643500.0 | Unaccompanied | 8.0 | Security staff | 3.0 | 0.505346 | 0.575246 | 0.479449 | 0.0 | 0.0 | 0.0 | 0.0 | -1994.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 307461 | 16645.5 | 463500.0 | Unaccompanied | NaN | Managers | 3.0 | 0.295794 | 0.583947 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1669.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307462 | 57222.0 | 922500.0 | Family | 10.0 | Accountants | 5.0 | NaN | 0.513005 | 0.285180 | 0.0 | 0.0 | 0.0 | 0.0 | -656.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307463 | 17338.5 | 225000.0 | Family | NaN | NaN | 2.0 | NaN | 0.666924 | 0.728141 | 0.0 | 0.0 | 0.0 | 0.0 | -1573.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 |
| 307464 | 27121.5 | 472500.0 | Unaccompanied | NaN | Cooking staff | 2.0 | 0.676600 | 0.503774 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1457.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307465 | 33259.5 | 675000.0 | Unaccompanied | NaN | Core staff | 3.0 | NaN | 0.590768 | 0.766234 | 4.0 | 0.0 | 4.0 | 0.0 | -1135.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307466 | 26550.0 | 477000.0 | Unaccompanied | NaN | Medicine staff | 2.0 | NaN | 0.639970 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -2492.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307467 | 33750.0 | 675000.0 | Unaccompanied | NaN | Accountants | 2.0 | 0.872456 | 0.724419 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -148.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307468 | 21888.0 | 283500.0 | Unaccompanied | NaN | NaN | 3.0 | 0.510609 | 0.240384 | 0.511892 | 2.0 | 0.0 | 2.0 | 0.0 | -499.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 |
| 307469 | 29943.0 | 607500.0 | Unaccompanied | NaN | NaN | 1.0 | NaN | 0.195625 | 0.360613 | 11.0 | 2.0 | 11.0 | 0.0 | -1667.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 307470 | 10309.5 | 270000.0 | Unaccompanied | NaN | Cooking staff | 2.0 | NaN | 0.479758 | 0.337673 | 0.0 | 0.0 | 0.0 | 0.0 | -2190.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307471 | 32274.0 | 450000.0 | Unaccompanied | NaN | Secretaries | 4.0 | 0.623946 | 0.554902 | 0.629674 | 0.0 | 0.0 | 0.0 | 0.0 | -385.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 |
| 307472 | 23773.5 | 675000.0 | Unaccompanied | NaN | Sales staff | 3.0 | 0.567361 | 0.131189 | 0.691021 | 6.0 | 0.0 | 6.0 | 0.0 | -1831.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307473 | 20439.0 | 234000.0 | Spouse, partner | 18.0 | High skill tech staff | 3.0 | 0.585450 | 0.264486 | 0.565608 | 1.0 | 0.0 | 1.0 | 0.0 | -637.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 |
| 307474 | 23004.0 | 360000.0 | Unaccompanied | 16.0 | Laborers | 4.0 | 0.511349 | 0.502692 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -2159.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307475 | 46809.0 | 1125000.0 | Unaccompanied | NaN | Laborers | 3.0 | 0.634729 | 0.583214 | 0.424130 | 0.0 | 0.0 | 0.0 | 0.0 | -1492.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 6.0 |
| 307476 | 48456.0 | 1575000.0 | Unaccompanied | NaN | NaN | 4.0 | 0.629572 | 0.277728 | 0.771362 | 0.0 | 0.0 | 0.0 | 0.0 | -2538.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307477 | 38443.5 | 643500.0 | Unaccompanied | NaN | Medicine staff | 2.0 | NaN | 0.547811 | 0.667458 | 0.0 | 0.0 | 0.0 | 0.0 | -1353.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 |
| 307478 | 40540.5 | 1125000.0 | Family | NaN | Core staff | 2.0 | 0.889817 | 0.440537 | 0.420611 | 0.0 | 0.0 | 0.0 | 0.0 | -549.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 2.0 |
| 307479 | 31630.5 | 450000.0 | Spouse, partner | NaN | Sales staff | 3.0 | 0.407174 | 0.226036 | 0.352340 | 3.0 | 0.0 | 3.0 | 0.0 | -396.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307480 | 39474.0 | 1350000.0 | Unaccompanied | NaN | Core staff | 3.0 | NaN | 0.679122 | 0.647977 | 1.0 | 1.0 | 1.0 | 0.0 | -1594.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 307481 | 19975.5 | 297000.0 | Family | NaN | Managers | 2.0 | NaN | 0.713524 | 0.511892 | 0.0 | 0.0 | 0.0 | 0.0 | -2941.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 307482 | 34969.5 | 472500.0 | Unaccompanied | 11.0 | Managers | 2.0 | 0.470808 | 0.737905 | 0.394495 | 0.0 | 0.0 | 0.0 | 0.0 | -611.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307483 | 16479.0 | 225000.0 | Unaccompanied | NaN | NaN | 1.0 | NaN | 0.589906 | 0.520898 | 1.0 | 1.0 | 1.0 | 1.0 | -1775.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 |
| 307484 | 35617.5 | 450000.0 | Unaccompanied | 1.0 | Managers | 2.0 | NaN | 0.739703 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1578.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307485 | 9000.0 | 180000.0 | Family | NaN | Sales staff | 2.0 | 0.426391 | 0.702403 | 0.865896 | 0.0 | 0.0 | 0.0 | 0.0 | -336.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307486 | 18283.5 | 270000.0 | Unaccompanied | 9.0 | NaN | 3.0 | NaN | 0.661025 | 0.199771 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 307487 | 31473.0 | 936000.0 | Unaccompanied | NaN | NaN | 2.0 | NaN | 0.307082 | 0.255332 | 0.0 | 0.0 | 0.0 | 0.0 | -846.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 8.0 |
| 307488 | 13351.5 | 135000.0 | Unaccompanied | NaN | Core staff | 1.0 | 0.479458 | 0.619662 | 0.529890 | 1.0 | 0.0 | 1.0 | 0.0 | -610.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 |
| 307489 | 23089.5 | 450000.0 | Unaccompanied | NaN | Sales staff | 2.0 | NaN | 0.615261 | 0.397946 | 1.0 | 1.0 | 1.0 | 0.0 | -307.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 |
| 307490 | 9148.5 | 135000.0 | Unaccompanied | NaN | Laborers | 1.0 | 0.245623 | 0.378421 | 0.495666 | 0.0 | 0.0 | 0.0 | 0.0 | -439.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307491 | 31522.5 | 900000.0 | Unaccompanied | 15.0 | Drivers | 4.0 | 0.532858 | 0.561158 | 0.716570 | 4.0 | 0.0 | 4.0 | 0.0 | -1357.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 7.0 |
| 307492 | 43443.0 | 1575000.0 | Unaccompanied | 2.0 | Sales staff | 2.0 | NaN | 0.599173 | 0.365617 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307493 | 37678.5 | 765000.0 | Unaccompanied | NaN | Security staff | 2.0 | NaN | 0.424683 | 0.728141 | 0.0 | 0.0 | 0.0 | 0.0 | -249.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 7.0 |
| 307494 | 46858.5 | 450000.0 | Family | 15.0 | Drivers | 3.0 | 0.531969 | 0.699727 | 0.511892 | 11.0 | 0.0 | 11.0 | 0.0 | -367.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 |
| 307495 | 23773.5 | 675000.0 | Unaccompanied | 2.0 | High skill tech staff | 2.0 | NaN | 0.267834 | 0.597192 | 0.0 | 0.0 | 0.0 | 0.0 | -2919.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307496 | 16875.0 | 337500.0 | Family | NaN | Cooking staff | 2.0 | 0.644797 | 0.512081 | 0.486653 | 0.0 | 0.0 | 0.0 | 0.0 | -826.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307497 | 12028.5 | 193500.0 | Unaccompanied | 0.0 | Sales staff | 2.0 | 0.251096 | 0.651306 | 0.524496 | 0.0 | 0.0 | 0.0 | 0.0 | -1344.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 |
| 307498 | 52168.5 | 1125000.0 | Unaccompanied | 10.0 | Laborers | 2.0 | NaN | 0.746259 | 0.406617 | 0.0 | 0.0 | 0.0 | 0.0 | -734.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307499 | 12694.5 | 225000.0 | Unaccompanied | NaN | Medicine staff | 2.0 | 0.665343 | 0.649123 | 0.206779 | 4.0 | 0.0 | 4.0 | 0.0 | -1511.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 |
| 307500 | 35982.0 | 1138500.0 | Unaccompanied | NaN | NaN | 2.0 | 0.896042 | 0.789389 | 0.337673 | 0.0 | 0.0 | 0.0 | 0.0 | -1459.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 5.0 |
| 307501 | 11871.0 | 225000.0 | Unaccompanied | NaN | Low-skill Laborers | 5.0 | NaN | 0.575481 | NaN | 2.0 | 1.0 | 2.0 | 1.0 | -448.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307502 | 10620.0 | 225000.0 | Unaccompanied | NaN | Laborers | 3.0 | NaN | 0.313334 | 0.735221 | 0.0 | 0.0 | 0.0 | 0.0 | -1516.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307503 | 17770.5 | 247500.0 | Unaccompanied | NaN | Core staff | 1.0 | 0.243466 | 0.501221 | 0.609276 | 9.0 | 3.0 | 9.0 | 2.0 | -2315.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 |
| 307504 | 16096.5 | 225000.0 | Unaccompanied | NaN | Sales staff | 1.0 | NaN | 0.530725 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307505 | 22050.0 | 225000.0 | Unaccompanied | NaN | NaN | 1.0 | NaN | 0.346391 | 0.742182 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 |
| 307506 | 27558.0 | 225000.0 | Unaccompanied | NaN | Sales staff | 1.0 | 0.145570 | 0.681632 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -273.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307507 | 12001.5 | 225000.0 | Unaccompanied | NaN | NaN | 1.0 | NaN | 0.115992 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307508 | 29979.0 | 585000.0 | Unaccompanied | NaN | Managers | 1.0 | 0.744026 | 0.535722 | 0.218859 | 6.0 | 0.0 | 6.0 | 0.0 | -1909.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 |
| 307509 | 20205.0 | 319500.0 | Unaccompanied | NaN | Laborers | 2.0 | NaN | 0.514163 | 0.661024 | 0.0 | 0.0 | 0.0 | 0.0 | -322.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307510 | 49117.5 | 675000.0 | Unaccompanied | NaN | Laborers | 2.0 | 0.734460 | 0.708569 | 0.113922 | 0.0 | 0.0 | 0.0 | 0.0 | -787.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 1.0 |
307511 rows × 20 columns
### Lets handle the missing values one by one
app.AMT_ANNUITY.isnull().sum()/len(app)*100
0.003902299429939092
app.AMT_ANNUITY.value_counts()
9000.0 6385
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...
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Name: AMT_ANNUITY, Length: 13672, dtype: int64
app.AMT_ANNUITY.isnull().value_counts()
False 307499 True 12 Name: AMT_ANNUITY, dtype: int64
app[app["AMT_ANNUITY"].isnull()].head()
### Lets think about dropping the rows in this column later
| SK_ID_CURR | TARGET | NAME_CONTRACT_TYPE | CODE_GENDER | FLAG_OWN_CAR | FLAG_OWN_REALTY | CNT_CHILDREN | AMT_INCOME_TOTAL | AMT_CREDIT | AMT_ANNUITY | AMT_GOODS_PRICE | NAME_TYPE_SUITE | NAME_INCOME_TYPE | NAME_EDUCATION_TYPE | NAME_FAMILY_STATUS | NAME_HOUSING_TYPE | REGION_POPULATION_RELATIVE | DAYS_BIRTH | DAYS_EMPLOYED | DAYS_REGISTRATION | DAYS_ID_PUBLISH | OWN_CAR_AGE | FLAG_MOBIL | FLAG_EMP_PHONE | FLAG_WORK_PHONE | FLAG_CONT_MOBILE | FLAG_PHONE | FLAG_EMAIL | OCCUPATION_TYPE | CNT_FAM_MEMBERS | REGION_RATING_CLIENT | REGION_RATING_CLIENT_W_CITY | WEEKDAY_APPR_PROCESS_START | HOUR_APPR_PROCESS_START | REG_REGION_NOT_LIVE_REGION | REG_REGION_NOT_WORK_REGION | LIVE_REGION_NOT_WORK_REGION | REG_CITY_NOT_LIVE_CITY | REG_CITY_NOT_WORK_CITY | LIVE_CITY_NOT_WORK_CITY | ORGANIZATION_TYPE | EXT_SOURCE_1 | EXT_SOURCE_2 | EXT_SOURCE_3 | OBS_30_CNT_SOCIAL_CIRCLE | DEF_30_CNT_SOCIAL_CIRCLE | OBS_60_CNT_SOCIAL_CIRCLE | DEF_60_CNT_SOCIAL_CIRCLE | DAYS_LAST_PHONE_CHANGE | FLAG_DOCUMENT_2 | FLAG_DOCUMENT_3 | FLAG_DOCUMENT_4 | FLAG_DOCUMENT_5 | FLAG_DOCUMENT_6 | FLAG_DOCUMENT_7 | FLAG_DOCUMENT_8 | FLAG_DOCUMENT_9 | FLAG_DOCUMENT_10 | FLAG_DOCUMENT_11 | FLAG_DOCUMENT_12 | FLAG_DOCUMENT_13 | FLAG_DOCUMENT_14 | FLAG_DOCUMENT_15 | FLAG_DOCUMENT_16 | FLAG_DOCUMENT_17 | FLAG_DOCUMENT_18 | FLAG_DOCUMENT_19 | FLAG_DOCUMENT_20 | FLAG_DOCUMENT_21 | AMT_REQ_CREDIT_BUREAU_HOUR | AMT_REQ_CREDIT_BUREAU_DAY | AMT_REQ_CREDIT_BUREAU_WEEK | AMT_REQ_CREDIT_BUREAU_MON | AMT_REQ_CREDIT_BUREAU_QRT | AMT_REQ_CREDIT_BUREAU_YEAR | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 47531 | 155054 | 0 | Cash loans | M | N | N | 0 | 180000.0 | 450000.0 | NaN | 450000.0 | Unaccompanied | Commercial associate | Incomplete higher | Single / not married | House / apartment | 0.026392 | -10668 | -2523 | -4946.0 | -3238 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | High skill tech staff | 1.0 | 2 | 2 | WEDNESDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.626896 | 0.372334 | 1.0 | 0.0 | 1.0 | 0.0 | -2.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 50035 | 157917 | 0 | Cash loans | F | N | N | 0 | 94500.0 | 450000.0 | NaN | 450000.0 | Unaccompanied | Working | Lower secondary | Civil marriage | House / apartment | 0.035792 | -9027 | -1270 | -3640.0 | -741 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | MONDAY | 20 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 1 | NaN | 0.727274 | 0.468660 | 0.0 | 0.0 | 0.0 | 0.0 | -706.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 |
| 51594 | 159744 | 0 | Cash loans | F | N | N | 0 | 202500.0 | 539100.0 | NaN | 450000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.046220 | -17376 | -3950 | -11524.0 | -831 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Cooking staff | 2.0 | 1 | 1 | WEDNESDAY | 15 | 0 | 0 | 0 | 1 | 1 | 1 | Self-employed | 0.885980 | 0.738370 | 0.452534 | 1.0 | 0.0 | 1.0 | 0.0 | -199.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 |
| 55025 | 163757 | 0 | Cash loans | F | N | N | 0 | 162000.0 | 296280.0 | NaN | 225000.0 | Unaccompanied | State servant | Higher education | Married | House / apartment | 0.035792 | -11329 | -2040 | -3195.0 | -3069 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 2.0 | 2 | 2 | FRIDAY | 13 | 0 | 0 | 0 | 1 | 1 | 1 | Government | 0.336803 | 0.566316 | 0.220095 | 0.0 | 0.0 | 0.0 | 0.0 | -2841.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 4.0 |
| 59934 | 169487 | 0 | Cash loans | M | Y | N | 0 | 202500.0 | 360000.0 | NaN | 360000.0 | Unaccompanied | Working | Secondary / secondary special | Single / not married | House / apartment | 0.046220 | -19762 | -2498 | -11285.0 | -3305 | 4.0 | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 1.0 | 1 | 1 | FRIDAY | 15 | 0 | 1 | 1 | 0 | 1 | 1 | Other | 0.647350 | 0.583947 | 0.177704 | 0.0 | 0.0 | 0.0 | 0.0 | -743.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 6.0 |
### Checking next column
app.AMT_GOODS_PRICE.isnull().value_counts()
### We have 278 entries i.e 9% of missing entries
False 307233 True 278 Name: AMT_GOODS_PRICE, dtype: int64
app["AMT_GOODS_PRICE"].mean(), app["AMT_GOODS_PRICE"].median(), app["AMT_GOODS_PRICE"].mode()
(538396.2074288895, 450000.0, 0 450000.0 dtype: float64)
app[app["AMT_GOODS_PRICE"].isnull()]
| SK_ID_CURR | TARGET | NAME_CONTRACT_TYPE | CODE_GENDER | FLAG_OWN_CAR | FLAG_OWN_REALTY | CNT_CHILDREN | AMT_INCOME_TOTAL | AMT_CREDIT | AMT_ANNUITY | AMT_GOODS_PRICE | NAME_TYPE_SUITE | NAME_INCOME_TYPE | NAME_EDUCATION_TYPE | NAME_FAMILY_STATUS | NAME_HOUSING_TYPE | REGION_POPULATION_RELATIVE | DAYS_BIRTH | DAYS_EMPLOYED | DAYS_REGISTRATION | DAYS_ID_PUBLISH | OWN_CAR_AGE | FLAG_MOBIL | FLAG_EMP_PHONE | FLAG_WORK_PHONE | FLAG_CONT_MOBILE | FLAG_PHONE | FLAG_EMAIL | OCCUPATION_TYPE | CNT_FAM_MEMBERS | REGION_RATING_CLIENT | REGION_RATING_CLIENT_W_CITY | WEEKDAY_APPR_PROCESS_START | HOUR_APPR_PROCESS_START | REG_REGION_NOT_LIVE_REGION | REG_REGION_NOT_WORK_REGION | LIVE_REGION_NOT_WORK_REGION | REG_CITY_NOT_LIVE_CITY | REG_CITY_NOT_WORK_CITY | LIVE_CITY_NOT_WORK_CITY | ORGANIZATION_TYPE | EXT_SOURCE_1 | EXT_SOURCE_2 | EXT_SOURCE_3 | OBS_30_CNT_SOCIAL_CIRCLE | DEF_30_CNT_SOCIAL_CIRCLE | OBS_60_CNT_SOCIAL_CIRCLE | DEF_60_CNT_SOCIAL_CIRCLE | DAYS_LAST_PHONE_CHANGE | FLAG_DOCUMENT_2 | FLAG_DOCUMENT_3 | FLAG_DOCUMENT_4 | FLAG_DOCUMENT_5 | FLAG_DOCUMENT_6 | FLAG_DOCUMENT_7 | FLAG_DOCUMENT_8 | FLAG_DOCUMENT_9 | FLAG_DOCUMENT_10 | FLAG_DOCUMENT_11 | FLAG_DOCUMENT_12 | FLAG_DOCUMENT_13 | FLAG_DOCUMENT_14 | FLAG_DOCUMENT_15 | FLAG_DOCUMENT_16 | FLAG_DOCUMENT_17 | FLAG_DOCUMENT_18 | FLAG_DOCUMENT_19 | FLAG_DOCUMENT_20 | FLAG_DOCUMENT_21 | AMT_REQ_CREDIT_BUREAU_HOUR | AMT_REQ_CREDIT_BUREAU_DAY | AMT_REQ_CREDIT_BUREAU_WEEK | AMT_REQ_CREDIT_BUREAU_MON | AMT_REQ_CREDIT_BUREAU_QRT | AMT_REQ_CREDIT_BUREAU_YEAR | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 724 | 100837 | 0 | Revolving loans | F | N | Y | 2 | 45000.0 | 135000.0 | 6750.0 | NaN | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.024610 | -10072 | -381 | -519.0 | -1834 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Core staff | 4.0 | 2 | 2 | WEDNESDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Kindergarten | 0.358509 | 0.378174 | NaN | 2.0 | 1.0 | 2.0 | 1.0 | -2011.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 5937 | 106955 | 0 | Revolving loans | F | N | N | 0 | 157500.0 | 450000.0 | 22500.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.010006 | -11993 | -2921 | -1289.0 | -1948 | NaN | 1 | 1 | 1 | 1 | 1 | 1 | Private service staff | 2.0 | 2 | 2 | SATURDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.505609 | 0.464614 | 0.537070 | 0.0 | 0.0 | 0.0 | 0.0 | -476.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 6425 | 107494 | 0 | Revolving loans | F | N | N | 0 | 67500.0 | 202500.0 | 10125.0 | NaN | NaN | Working | Higher education | Married | House / apartment | 0.008474 | -9727 | -2712 | -4132.0 | -800 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Accountants | 2.0 | 2 | 2 | WEDNESDAY | 18 | 0 | 0 | 0 | 0 | 0 | 0 | Trade: type 7 | 0.706945 | 0.565849 | NaN | 1.0 | 1.0 | 1.0 | 0.0 | -643.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 6703 | 107822 | 0 | Revolving loans | F | N | N | 1 | 121500.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.011657 | -11079 | -899 | -3765.0 | -572 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Managers | 3.0 | 1 | 1 | WEDNESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Government | NaN | 0.645519 | 0.863363 | 1.0 | 0.0 | 1.0 | 0.0 | -1292.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 7647 | 108913 | 0 | Revolving loans | M | N | Y | 0 | 180000.0 | 450000.0 | 22500.0 | NaN | NaN | Working | Higher education | Single / not married | House / apartment | 0.032561 | -9986 | -1847 | -4762.0 | -506 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Security staff | 1.0 | 1 | 1 | SATURDAY | 18 | 0 | 0 | 0 | 0 | 0 | 0 | Construction | 0.477288 | 0.552557 | 0.661024 | 1.0 | 0.0 | 1.0 | 0.0 | -159.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 7880 | 109190 | 1 | Revolving loans | F | N | N | 0 | 121500.0 | 270000.0 | 13500.0 | NaN | NaN | Working | Higher education | Single / not married | With parents | 0.006296 | -12390 | -640 | -6365.0 | -3597 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Managers | 1.0 | 3 | 3 | FRIDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.579450 | 0.407925 | 0.240541 | 2.0 | 0.0 | 1.0 | 0.0 | -158.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 7995 | 109322 | 0 | Revolving loans | M | N | Y | 0 | 112500.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.008230 | -12420 | -1610 | -6443.0 | -2463 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Security staff | 1.0 | 2 | 2 | THURSDAY | 16 | 0 | 1 | 1 | 1 | 1 | 1 | Security | NaN | 0.078597 | 0.504681 | 3.0 | 0.0 | 3.0 | 0.0 | -2.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 3.0 |
| 10819 | 112595 | 0 | Revolving loans | F | N | Y | 0 | 90000.0 | 270000.0 | 13500.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.022800 | -18193 | -242 | -1462.0 | -1731 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | SUNDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Transport: type 4 | NaN | 0.644126 | 0.553165 | 0.0 | 0.0 | 0.0 | 0.0 | -1952.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 11287 | 113148 | 0 | Revolving loans | F | N | Y | 4 | 225000.0 | 135000.0 | 6750.0 | NaN | NaN | State servant | Secondary / secondary special | Single / not married | House / apartment | 0.003541 | -17610 | -4662 | -8233.0 | -1148 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 5.0 | 1 | 1 | THURSDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | School | NaN | 0.419290 | 0.513694 | 3.0 | 0.0 | 3.0 | 0.0 | -1780.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 |
| 13008 | 115162 | 0 | Revolving loans | F | N | Y | 1 | 157500.0 | 450000.0 | 22500.0 | NaN | NaN | State servant | Higher education | Married | House / apartment | 0.046220 | -14005 | -1404 | -2284.0 | -2282 | NaN | 1 | 1 | 1 | 1 | 1 | 1 | Laborers | 3.0 | 1 | 1 | TUESDAY | 14 | 0 | 0 | 0 | 0 | 1 | 1 | Housing | 0.485762 | 0.719591 | 0.470456 | 1.0 | 1.0 | 1.0 | 1.0 | -1837.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 |
| 14699 | 117150 | 0 | Revolving loans | M | N | N | 1 | 135000.0 | 270000.0 | 13500.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.024610 | -9962 | -1676 | -4321.0 | -2592 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Drivers | 3.0 | 2 | 2 | THURSDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Military | NaN | 0.358644 | 0.465069 | 6.0 | 0.0 | 6.0 | 0.0 | -378.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | 2.0 |
| 15953 | 118618 | 0 | Revolving loans | F | N | N | 1 | 90000.0 | 270000.0 | 13500.0 | NaN | NaN | Commercial associate | Higher education | Married | House / apartment | 0.008625 | -10233 | -2216 | -4304.0 | -2191 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Waiters/barmen staff | 3.0 | 2 | 2 | WEDNESDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.355611 | 0.761872 | 0.617826 | 2.0 | 0.0 | 2.0 | 0.0 | -1604.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 18935 | 122080 | 0 | Revolving loans | M | N | Y | 0 | 157500.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Lower secondary | Married | House / apartment | 0.003813 | -9727 | -2137 | -4394.0 | -2301 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Sales staff | 2.0 | 2 | 2 | MONDAY | 7 | 0 | 0 | 0 | 0 | 1 | 1 | Self-employed | 0.121856 | 0.283778 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1528.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 19178 | 122374 | 0 | Revolving loans | F | N | Y | 0 | 67500.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.006008 | -10777 | -3330 | -706.0 | -873 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | TUESDAY | 15 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 2 | 0.171354 | 0.600496 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -473.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 19921 | 123233 | 0 | Revolving loans | F | N | N | 0 | 90000.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.004960 | -12920 | -100 | -5986.0 | -4363 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Security staff | 1.0 | 2 | 2 | SATURDAY | 18 | 0 | 0 | 0 | 0 | 0 | 0 | Security | 0.096934 | 0.603896 | 0.374021 | 2.0 | 0.0 | 2.0 | 0.0 | -564.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | 1.0 |
| 21193 | 124697 | 0 | Revolving loans | F | N | Y | 0 | 202500.0 | 270000.0 | 13500.0 | NaN | NaN | Working | Higher education | Married | Co-op apartment | 0.025164 | -16944 | -686 | -9883.0 | -471 | NaN | 1 | 1 | 0 | 1 | 1 | 1 | Laborers | 2.0 | 2 | 2 | THURSDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | 0.486563 | 0.313315 | 0.510090 | 0.0 | 0.0 | 0.0 | 0.0 | -1822.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 21338 | 124859 | 0 | Revolving loans | M | N | Y | 0 | 225000.0 | 675000.0 | 33750.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.035792 | -17658 | -5986 | -12170.0 | -1212 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Managers | 2.0 | 2 | 2 | TUESDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.759925 | 0.537859 | 0.255332 | 0.0 | 0.0 | 0.0 | 0.0 | -1455.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 21546 | 125096 | 0 | Revolving loans | F | N | N | 1 | 45000.0 | 135000.0 | 6750.0 | NaN | NaN | Working | Secondary / secondary special | Civil marriage | Municipal apartment | 0.031329 | -7727 | -1159 | -7704.0 | -381 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Core staff | 3.0 | 2 | 2 | FRIDAY | 12 | 0 | 0 | 0 | 0 | 1 | 1 | Government | NaN | 0.491223 | NaN | 15.0 | 0.0 | 15.0 | 0.0 | -245.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 25391 | 129532 | 0 | Revolving loans | M | N | Y | 1 | 382500.0 | 270000.0 | 13500.0 | NaN | NaN | Commercial associate | Higher education | Single / not married | House / apartment | 0.046220 | -8993 | -641 | -2332.0 | -1676 | NaN | 1 | 1 | 1 | 1 | 1 | 1 | Managers | 2.0 | 1 | 1 | SATURDAY | 16 | 0 | 1 | 1 | 0 | 1 | 1 | Construction | NaN | 0.633927 | 0.051329 | 3.0 | 0.0 | 3.0 | 0.0 | -208.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 26398 | 130692 | 0 | Revolving loans | M | N | N | 0 | 135000.0 | 495000.0 | 24750.0 | NaN | NaN | Pensioner | Higher education | Single / not married | House / apartment | 0.020713 | -22009 | 365243 | -342.0 | -1397 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 3 | 2 | FRIDAY | 6 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.819146 | 0.005691 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -462.0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 26736 | 131077 | 0 | Revolving loans | F | N | Y | 0 | 90000.0 | 202500.0 | 10125.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.018634 | -14069 | -2646 | -2821.0 | -1141 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Managers | 2.0 | 2 | 2 | THURSDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Postal | 0.510107 | 0.592876 | 0.450747 | 1.0 | 0.0 | 1.0 | 0.0 | -1030.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 27003 | 131385 | 0 | Revolving loans | M | N | Y | 0 | 180000.0 | 450000.0 | 22500.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.022625 | -16559 | -496 | -3284.0 | -111 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 2.0 | 2 | 2 | WEDNESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.573238 | 0.561724 | 0.258084 | 0.0 | 0.0 | 0.0 | 0.0 | -813.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 |
| 28201 | 132778 | 0 | Revolving loans | F | N | Y | 0 | 45000.0 | 315000.0 | 15750.0 | NaN | NaN | Pensioner | Secondary / secondary special | Married | House / apartment | 0.019101 | -23588 | 365243 | -3752.0 | -4715 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.777104 | 0.642666 | 0.339288 | 1.0 | 0.0 | 1.0 | 0.0 | -1646.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 29059 | 133761 | 0 | Revolving loans | F | N | Y | 2 | 81000.0 | 247500.0 | 12375.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.031329 | -11751 | -2601 | -975.0 | -4392 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Core staff | 4.0 | 2 | 2 | THURSDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Industry: type 3 | 0.572535 | 0.640474 | 0.508287 | 0.0 | 0.0 | 0.0 | 0.0 | -2202.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 30164 | 135010 | 0 | Revolving loans | F | N | Y | 1 | 121500.0 | 405000.0 | 20250.0 | NaN | NaN | Commercial associate | Higher education | Married | House / apartment | 0.026392 | -10168 | -759 | -4235.0 | -2840 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Core staff | 3.0 | 2 | 2 | SATURDAY | 20 | 0 | 0 | 0 | 0 | 0 | 0 | School | 0.644572 | 0.709507 | 0.798137 | 0.0 | 0.0 | 0.0 | 0.0 | -1698.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 30294 | 135159 | 0 | Revolving loans | M | N | Y | 0 | 225000.0 | 450000.0 | 22500.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.022625 | -12943 | -2214 | -7000.0 | -4355 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | WEDNESDAY | 17 | 0 | 0 | 0 | 0 | 1 | 1 | Transport: type 4 | 0.158424 | 0.683045 | 0.689479 | 0.0 | 0.0 | 0.0 | 0.0 | -1525.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 32143 | 137268 | 0 | Revolving loans | M | N | Y | 0 | 112500.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.005002 | -14063 | -1593 | -6647.0 | -4723 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Drivers | 2.0 | 3 | 3 | MONDAY | 11 | 0 | 0 | 0 | 1 | 0 | 1 | Business Entity Type 3 | NaN | 0.598895 | 0.665855 | 0.0 | 0.0 | 0.0 | 0.0 | -2576.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 36250 | 141975 | 0 | Revolving loans | F | N | Y | 0 | 90000.0 | 202500.0 | 10125.0 | NaN | NaN | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.011657 | -20277 | 365243 | -11951.0 | -2809 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 1 | 1 | SATURDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.666481 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -129.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 36721 | 142532 | 0 | Revolving loans | M | N | Y | 1 | 202500.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.007114 | -13530 | -1654 | -299.0 | -4380 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 3.0 | 2 | 2 | WEDNESDAY | 16 | 0 | 0 | 0 | 0 | 1 | 1 | Construction | 0.218806 | 0.713971 | 0.340906 | 1.0 | 0.0 | 1.0 | 0.0 | -1511.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 39230 | 145435 | 0 | Revolving loans | F | N | Y | 0 | 225000.0 | 382500.0 | 19125.0 | NaN | NaN | Working | Higher education | Married | House / apartment | 0.010006 | -17922 | -1411 | -652.0 | -1445 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Core staff | 2.0 | 2 | 2 | FRIDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | School | 0.858466 | 0.660976 | 0.306202 | 0.0 | 0.0 | 0.0 | 0.0 | -598.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 40571 | 146988 | 0 | Revolving loans | F | N | Y | 0 | 202500.0 | 1350000.0 | 67500.0 | NaN | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.030755 | -17986 | -4678 | -4504.0 | -1532 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Sales staff | 2.0 | 2 | 2 | MONDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | NaN | 0.638104 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -569.0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 41099 | 147593 | 1 | Revolving loans | F | N | N | 0 | 58500.0 | 202500.0 | 10125.0 | NaN | NaN | Working | Secondary / secondary special | Married | Rented apartment | 0.009334 | -15092 | -623 | -7436.0 | -4505 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Sales staff | 2.0 | 2 | 2 | SATURDAY | 10 | 0 | 0 | 0 | 1 | 1 | 0 | Self-employed | NaN | 0.559127 | 0.401407 | 0.0 | 0.0 | 0.0 | 0.0 | -387.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 41161 | 147655 | 0 | Revolving loans | M | N | Y | 1 | 112500.0 | 202500.0 | 10125.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.008625 | -10766 | -2275 | -7975.0 | -3402 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Core staff | 3.0 | 2 | 2 | FRIDAY | 11 | 0 | 0 | 0 | 0 | 1 | 1 | Other | NaN | 0.512021 | 0.819318 | 0.0 | 0.0 | 0.0 | 0.0 | -1781.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 41982 | 148605 | 0 | Revolving loans | M | N | Y | 0 | 450000.0 | 675000.0 | 33750.0 | NaN | NaN | Commercial associate | Lower secondary | Unknown | Municipal apartment | 0.015221 | -12396 | -1161 | -3265.0 | -4489 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Managers | NaN | 2 | 2 | THURSDAY | 15 | 0 | 1 | 1 | 0 | 1 | 1 | Insurance | 0.628564 | 0.700618 | NaN | 3.0 | 0.0 | 3.0 | 0.0 | -876.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 42024 | 148658 | 0 | Revolving loans | F | N | Y | 0 | 67500.0 | 135000.0 | 6750.0 | NaN | NaN | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.009175 | -18258 | -1024 | -1795.0 | -1805 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Industry: type 13 | NaN | 0.525216 | 0.457900 | 0.0 | 0.0 | 0.0 | 0.0 | -759.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 43630 | 150507 | 0 | Revolving loans | M | N | Y | 0 | 306000.0 | 1350000.0 | 67500.0 | NaN | NaN | Working | Higher education | Civil marriage | House / apartment | 0.007330 | -13197 | -2062 | -619.0 | -4038 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Managers | 2.0 | 2 | 2 | MONDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.346926 | 0.697526 | 0.399676 | 1.0 | 0.0 | 1.0 | 0.0 | -306.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 45657 | 152889 | 0 | Revolving loans | M | N | Y | 2 | 112500.0 | 135000.0 | 6750.0 | NaN | NaN | State servant | Secondary / secondary special | Married | House / apartment | 0.016612 | -13716 | -1466 | -8600.0 | -4045 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Laborers | 4.0 | 2 | 2 | MONDAY | 12 | 0 | 0 | 0 | 0 | 1 | 1 | School | NaN | 0.160135 | 0.617826 | 0.0 | 0.0 | 0.0 | 0.0 | -577.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 47627 | 155169 | 0 | Revolving loans | F | N | Y | 0 | 63000.0 | 135000.0 | 6750.0 | NaN | NaN | Pensioner | Secondary / secondary special | Married | House / apartment | 0.031329 | -21555 | 365243 | -10745.0 | -3935 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.652740 | 0.754406 | 0.0 | 0.0 | 0.0 | 0.0 | -1245.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 50540 | 158525 | 1 | Revolving loans | F | N | Y | 0 | 90000.0 | 270000.0 | 13500.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.031329 | -8160 | -279 | -5946.0 | -224 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.190088 | 0.285180 | 6.0 | 2.0 | 5.0 | 1.0 | -194.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 52711 | 161052 | 0 | Revolving loans | M | N | Y | 1 | 135000.0 | 270000.0 | 13500.0 | NaN | NaN | Commercial associate | Higher education | Married | House / apartment | 0.046220 | -13482 | -2405 | -3893.0 | -3559 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 3.0 | 1 | 1 | SATURDAY | 13 | 0 | 1 | 1 | 0 | 1 | 1 | Government | NaN | 0.703034 | 0.729567 | 1.0 | 0.0 | 0.0 | 0.0 | -898.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 52955 | 161332 | 0 | Revolving loans | F | N | Y | 0 | 126000.0 | 337500.0 | 16875.0 | NaN | NaN | Working | Higher education | Married | House / apartment | 0.008625 | -19614 | -4330 | -9709.0 | -2879 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Managers | 2.0 | 2 | 2 | SATURDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Government | NaN | 0.654344 | 0.591977 | 0.0 | 0.0 | 0.0 | 0.0 | -716.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 54045 | 162615 | 0 | Revolving loans | F | N | Y | 0 | 135000.0 | 270000.0 | 13500.0 | NaN | NaN | Pensioner | Secondary / secondary special | Separated | House / apartment | 0.002042 | -22392 | 365243 | -548.0 | -2153 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 3 | 3 | WEDNESDAY | 14 | 0 | 0 | 0 | 1 | 0 | 0 | XNA | NaN | 0.602132 | 0.554947 | 0.0 | 0.0 | 0.0 | 0.0 | -494.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 7.0 |
| 55600 | 164423 | 0 | Revolving loans | F | N | Y | 0 | 81000.0 | 202500.0 | 10125.0 | NaN | NaN | Pensioner | Secondary / secondary special | Married | House / apartment | 0.009630 | -22061 | 365243 | -4961.0 | -4393 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.465713 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -371.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 56002 | 164897 | 1 | Revolving loans | F | N | Y | 0 | 180000.0 | 855000.0 | 42750.0 | NaN | NaN | Commercial associate | Higher education | Married | House / apartment | 0.007020 | -20278 | -2357 | -10157.0 | -3195 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Sales staff | 2.0 | 2 | 2 | FRIDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | NaN | 0.535939 | 0.124519 | 0.0 | 0.0 | 0.0 | 0.0 | -1291.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 58595 | 167920 | 0 | Revolving loans | F | N | Y | 0 | 88650.0 | 247500.0 | 12375.0 | NaN | NaN | Commercial associate | Secondary / secondary special | Widow | Municipal apartment | 0.003818 | -17812 | -4098 | -6219.0 | -1339 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 1.0 | 2 | 2 | FRIDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Government | NaN | 0.143668 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -523.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 58653 | 167989 | 0 | Revolving loans | M | N | Y | 0 | 157500.0 | 180000.0 | 9000.0 | NaN | NaN | Commercial associate | Higher education | Single / not married | House / apartment | 0.046220 | -10058 | -1534 | -3988.0 | -2720 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Core staff | 1.0 | 1 | 1 | MONDAY | 20 | 0 | 0 | 0 | 0 | 1 | 1 | Trade: type 2 | 0.260805 | 0.177997 | NaN | 8.0 | 0.0 | 8.0 | 0.0 | -855.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 |
| 60622 | 170291 | 0 | Revolving loans | M | N | Y | 0 | 135000.0 | 202500.0 | 10125.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.018029 | -13459 | -958 | -6473.0 | -4135 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Laborers | 2.0 | 3 | 2 | MONDAY | 4 | 0 | 0 | 0 | 0 | 0 | 0 | Trade: type 2 | 0.455278 | 0.316400 | 0.728141 | 2.0 | 0.0 | 2.0 | 0.0 | -1850.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 61022 | 170764 | 0 | Revolving loans | F | N | N | 1 | 112500.0 | 202500.0 | 10125.0 | NaN | NaN | Commercial associate | Secondary / secondary special | Single / not married | With parents | 0.018850 | -11412 | -1147 | -9431.0 | -3379 | NaN | 1 | 1 | 1 | 1 | 1 | 1 | Sales staff | 2.0 | 2 | 2 | THURSDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.581232 | 0.712701 | 0.526295 | 0.0 | 0.0 | 0.0 | 0.0 | -1789.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 61072 | 170823 | 0 | Revolving loans | F | N | Y | 0 | 67500.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.009334 | -12356 | -5016 | -3787.0 | -4691 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | FRIDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Medicine | NaN | 0.690463 | 0.399676 | 0.0 | 0.0 | 0.0 | 0.0 | -557.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 61618 | 171462 | 0 | Revolving loans | M | N | Y | 0 | 180000.0 | 180000.0 | 9000.0 | NaN | NaN | State servant | Higher education | Single / not married | House / apartment | 0.019689 | -10286 | -3195 | -463.0 | -2794 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Core staff | 1.0 | 2 | 2 | FRIDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Police | 0.229115 | 0.433092 | 0.634706 | 0.0 | 0.0 | 0.0 | 0.0 | -2780.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 63319 | 173434 | 0 | Revolving loans | F | N | Y | 0 | 292500.0 | 675000.0 | 33750.0 | NaN | NaN | Commercial associate | Higher education | Married | House / apartment | 0.031329 | -13177 | -1620 | -7133.0 | -4621 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Managers | 2.0 | 2 | 2 | TUESDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.720504 | 0.000527 | 4.0 | 0.0 | 4.0 | 0.0 | -161.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 64118 | 174350 | 0 | Revolving loans | F | N | Y | 0 | 72000.0 | 202500.0 | 10125.0 | NaN | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.014520 | -14509 | -394 | -3139.0 | -4429 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Core staff | 1.0 | 2 | 2 | SATURDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Kindergarten | 0.341296 | 0.501123 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -191.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 64184 | 174427 | 0 | Revolving loans | F | N | Y | 1 | 90000.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.016612 | -10311 | -840 | -196.0 | -566 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Sales staff | 3.0 | 2 | 2 | TUESDAY | 18 | 0 | 0 | 0 | 0 | 1 | 1 | Self-employed | 0.246302 | 0.601838 | NaN | 1.0 | 1.0 | 1.0 | 1.0 | -469.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 66168 | 176745 | 0 | Revolving loans | M | N | Y | 0 | 135000.0 | 270000.0 | 13500.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.018634 | -17389 | -998 | -420.0 | -924 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Drivers | 2.0 | 2 | 2 | MONDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | NaN | 0.775600 | NaN | 13.0 | 0.0 | 13.0 | 0.0 | -1234.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 67609 | 178403 | 0 | Revolving loans | M | N | Y | 2 | 45000.0 | 135000.0 | 6750.0 | NaN | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.006008 | -14536 | -4265 | -7377.0 | -4267 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 4.0 | 2 | 2 | TUESDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Housing | NaN | 0.584558 | 0.556727 | 0.0 | 0.0 | 0.0 | 0.0 | -596.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 69461 | 180561 | 1 | Revolving loans | F | N | Y | 1 | 103500.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.010147 | -9997 | -1308 | -9046.0 | -1873 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | SATURDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | NaN | 0.544694 | 0.684828 | 7.0 | 0.0 | 7.0 | 0.0 | -1940.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 69525 | 180635 | 0 | Revolving loans | F | N | Y | 2 | 49500.0 | 135000.0 | 6750.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.018209 | -12582 | -795 | -472.0 | -3249 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 4.0 | 3 | 3 | THURSDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Medicine | 0.288527 | 0.079540 | 0.519097 | 1.0 | 1.0 | 1.0 | 1.0 | -264.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 70661 | 181966 | 0 | Revolving loans | F | N | Y | 0 | 112500.0 | 270000.0 | 13500.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.019689 | -12920 | -3139 | -5291.0 | -1033 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Managers | 2.0 | 2 | 2 | WEDNESDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.643320 | 0.592718 | 0.709189 | 4.0 | 1.0 | 4.0 | 1.0 | -520.0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 70731 | 182043 | 0 | Revolving loans | F | N | Y | 0 | 202500.0 | 157500.0 | 7875.0 | NaN | NaN | Working | Higher education | Married | With parents | 0.008230 | -10152 | -1813 | -441.0 | -2752 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Core staff | 2.0 | 2 | 2 | SATURDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Bank | 0.176695 | 0.393569 | 0.472253 | 0.0 | 0.0 | 0.0 | 0.0 | -1659.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 3.0 |
| 72166 | 183693 | 0 | Revolving loans | F | N | Y | 1 | 135000.0 | 270000.0 | 13500.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.031329 | -14492 | -6953 | -4215.0 | -4213 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Core staff | 3.0 | 2 | 2 | THURSDAY | 7 | 0 | 0 | 0 | 0 | 0 | 0 | Kindergarten | 0.801765 | 0.515528 | 0.526295 | 2.0 | 0.0 | 2.0 | 0.0 | -1708.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 72902 | 184538 | 0 | Revolving loans | F | N | Y | 0 | 81000.0 | 225000.0 | 11250.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.018209 | -13342 | -2166 | -3432.0 | -5792 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Core staff | 2.0 | 3 | 3 | THURSDAY | 12 | 0 | 0 | 0 | 0 | 1 | 1 | Agriculture | NaN | 0.534846 | 0.622922 | 1.0 | 1.0 | 1.0 | 1.0 | -525.0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 |
| 74676 | 186598 | 0 | Revolving loans | M | N | Y | 0 | 180000.0 | 270000.0 | 13500.0 | NaN | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.072508 | -8268 | -885 | -404.0 | -944 | NaN | 1 | 1 | 1 | 1 | 1 | 1 | Core staff | 1.0 | 1 | 1 | TUESDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Bank | 0.252966 | 0.446474 | 0.410103 | 0.0 | 0.0 | 0.0 | 0.0 | -301.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 75036 | 187023 | 0 | Revolving loans | F | N | Y | 0 | 157500.0 | 675000.0 | 33750.0 | NaN | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.024610 | -10145 | -1686 | -2046.0 | -2523 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 12 | 0 | 0 | 0 | 1 | 1 | 0 | Government | 0.475929 | 0.686801 | 0.218859 | 5.0 | 0.0 | 5.0 | 0.0 | -1324.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 6.0 |
| 78786 | 191335 | 1 | Revolving loans | F | N | Y | 2 | 67500.0 | 202500.0 | 10125.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.007120 | -16363 | -953 | -9646.0 | -4144 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Core staff | 4.0 | 2 | 2 | FRIDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Postal | 0.662410 | 0.196660 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -399.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 79108 | 191700 | 0 | Revolving loans | F | N | Y | 1 | 103500.0 | 270000.0 | 13500.0 | NaN | NaN | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.031329 | -16145 | -4327 | -4463.0 | -3918 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 3.0 | 2 | 2 | SATURDAY | 12 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | 0.249658 | 0.688797 | 0.206779 | 0.0 | 0.0 | 0.0 | 0.0 | -1152.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 79484 | 192140 | 0 | Revolving loans | M | N | Y | 0 | 225000.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.006629 | -17904 | -1230 | -1016.0 | -1393 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Drivers | 2.0 | 2 | 2 | WEDNESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.610519 | 0.684828 | 1.0 | 0.0 | 1.0 | 0.0 | -251.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 80669 | 193529 | 0 | Revolving loans | F | N | Y | 0 | 180000.0 | 405000.0 | 20250.0 | NaN | NaN | Working | Higher education | Married | House / apartment | 0.024610 | -20232 | -2389 | -6752.0 | -3697 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | High skill tech staff | 2.0 | 2 | 2 | SATURDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.634754 | 0.746300 | 0.0 | 0.0 | 0.0 | 0.0 | -570.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 83784 | 197173 | 0 | Revolving loans | F | N | N | 1 | 76500.0 | 247500.0 | 12375.0 | NaN | NaN | State servant | Secondary / secondary special | Married | House / apartment | 0.035792 | -8398 | -1836 | -2937.0 | -627 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Core staff | 3.0 | 2 | 2 | SATURDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Government | NaN | 0.645433 | NaN | 1.0 | 1.0 | 1.0 | 1.0 | -1754.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 85172 | 198819 | 0 | Revolving loans | F | N | Y | 1 | 139500.0 | 270000.0 | 13500.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.010147 | -13244 | -109 | -4947.0 | -4958 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 3.0 | 2 | 2 | SATURDAY | 11 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | 0.491681 | 0.217530 | 0.474051 | 1.0 | 1.0 | 1.0 | 1.0 | -653.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 85861 | 199632 | 0 | Revolving loans | F | N | Y | 0 | 90000.0 | 270000.0 | 13500.0 | NaN | NaN | Working | Secondary / secondary special | Widow | House / apartment | 0.020713 | -22970 | -591 | -7789.0 | -4441 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Cooking staff | 1.0 | 3 | 3 | MONDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Medicine | NaN | 0.195247 | 0.448962 | 2.0 | 1.0 | 2.0 | 1.0 | -222.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 86000 | 199789 | 1 | Revolving loans | F | N | Y | 0 | 40500.0 | 135000.0 | 6750.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.018209 | -17975 | -1741 | -2200.0 | -1514 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 2.0 | 3 | 3 | FRIDAY | 14 | 0 | 0 | 0 | 0 | 1 | 1 | Housing | 0.493553 | 0.304413 | 0.288130 | 0.0 | 0.0 | 0.0 | 0.0 | -980.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 3.0 |
| 86005 | 199794 | 1 | Revolving loans | F | N | Y | 0 | 112500.0 | 247500.0 | 12375.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.015221 | -18019 | -3174 | -2579.0 | -1230 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 2.0 | 2 | 2 | SATURDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.766126 | 0.546527 | 0.152866 | 0.0 | 0.0 | 0.0 | 0.0 | -2296.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 |
| 87095 | 201085 | 0 | Revolving loans | F | N | Y | 1 | 67500.0 | 135000.0 | 6750.0 | NaN | NaN | Commercial associate | Secondary / secondary special | Single / not married | House / apartment | 0.009175 | -14808 | -3223 | -8184.0 | -4974 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Medicine staff | 2.0 | 2 | 2 | SUNDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.706302 | 0.746619 | 0.661024 | 0.0 | 0.0 | 0.0 | 0.0 | -737.0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 87144 | 201141 | 0 | Revolving loans | F | N | Y | 0 | 81000.0 | 202500.0 | 10125.0 | NaN | NaN | State servant | Secondary / secondary special | Civil marriage | House / apartment | 0.025164 | -15392 | -4080 | -4111.0 | -5372 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Medicine staff | 2.0 | 2 | 2 | THURSDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Medicine | NaN | 0.674683 | 0.569149 | 0.0 | 0.0 | 0.0 | 0.0 | -1630.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 87226 | 201232 | 0 | Revolving loans | F | N | Y | 0 | 180000.0 | 337500.0 | 16875.0 | NaN | NaN | Working | Incomplete higher | Married | House / apartment | 0.006671 | -13694 | -4360 | -8933.0 | -702 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | SATURDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.282154 | 0.600087 | 0.142873 | 1.0 | 0.0 | 1.0 | 0.0 | -364.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 88544 | 202806 | 0 | Revolving loans | F | N | Y | 0 | 112500.0 | 405000.0 | 20250.0 | NaN | NaN | Working | Higher education | Civil marriage | House / apartment | 0.035792 | -13589 | -359 | -7530.0 | -3962 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Sales staff | 2.0 | 2 | 2 | TUESDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | NaN | 0.563613 | 0.610991 | 0.0 | 0.0 | 0.0 | 0.0 | -583.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 89085 | 203438 | 0 | Revolving loans | F | N | Y | 1 | 157500.0 | 270000.0 | 13500.0 | NaN | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.009334 | -16853 | -1471 | -3417.0 | -370 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Accountants | 2.0 | 2 | 2 | TUESDAY | 12 | 0 | 0 | 0 | 0 | 1 | 1 | Self-employed | NaN | 0.633861 | 0.221335 | 1.0 | 0.0 | 1.0 | 0.0 | -237.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 89698 | 204141 | 0 | Revolving loans | F | N | Y | 0 | 67500.0 | 202500.0 | 10125.0 | NaN | NaN | Working | Higher education | Single / not married | House / apartment | 0.010966 | -12793 | -1496 | -403.0 | -716 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 1.0 | 2 | 2 | FRIDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Kindergarten | 0.431443 | 0.560975 | 0.524496 | 1.0 | 0.0 | 1.0 | 0.0 | -217.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 90898 | 205537 | 0 | Revolving loans | M | N | Y | 0 | 81000.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.010276 | -15505 | -4231 | -8122.0 | -4169 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 2.0 | 2 | 2 | FRIDAY | 16 | 0 | 0 | 0 | 0 | 1 | 1 | Self-employed | NaN | 0.655027 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -197.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 96192 | 211675 | 0 | Revolving loans | F | N | Y | 3 | 90000.0 | 135000.0 | 6750.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.016612 | -12130 | -1579 | -5245.0 | -4074 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 5.0 | 2 | 2 | WEDNESDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.293078 | 0.542361 | NaN | 2.0 | 0.0 | 2.0 | 0.0 | -199.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 97022 | 212618 | 0 | Revolving loans | F | N | Y | 3 | 153000.0 | 135000.0 | 6750.0 | NaN | NaN | Pensioner | Secondary / secondary special | Widow | Municipal apartment | 0.007305 | -13917 | 365243 | -6768.0 | -592 | NaN | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 4.0 | 3 | 3 | MONDAY | 7 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.432903 | 0.600260 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1232.0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 102123 | 218557 | 0 | Revolving loans | F | N | Y | 0 | 54000.0 | 135000.0 | 6750.0 | NaN | NaN | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.020713 | -8659 | -451 | -7991.0 | -1327 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Sales staff | 2.0 | 3 | 3 | SUNDAY | 6 | 0 | 0 | 0 | 1 | 1 | 0 | Restaurant | 0.261063 | 0.479387 | 0.251239 | 0.0 | 0.0 | 0.0 | 0.0 | -1047.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 102245 | 218700 | 0 | Revolving loans | M | N | Y | 1 | 180000.0 | 405000.0 | 20250.0 | NaN | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.028663 | -18571 | -5015 | -5083.0 | -1788 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 2.0 | 2 | 2 | THURSDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | NaN | 0.536173 | 0.771362 | 0.0 | 0.0 | 0.0 | 0.0 | -394.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 |
| 106630 | 223714 | 0 | Revolving loans | F | N | Y | 0 | 157500.0 | 180000.0 | 9000.0 | NaN | NaN | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.028663 | -22105 | -2341 | -6447.0 | -4837 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 1.0 | 2 | 2 | THURSDAY | 8 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | NaN | 0.460624 | 0.584990 | 7.0 | 0.0 | 7.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 107559 | 224784 | 0 | Revolving loans | M | N | N | 2 | 180000.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Single / not married | Municipal apartment | 0.007114 | -13652 | -328 | -2067.0 | -4310 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 3.0 | 2 | 2 | MONDAY | 13 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | 0.316359 | 0.271067 | 0.643026 | 0.0 | 0.0 | 0.0 | 0.0 | -217.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 107715 | 224966 | 0 | Revolving loans | F | N | Y | 2 | 67500.0 | 135000.0 | 6750.0 | NaN | NaN | Commercial associate | Secondary / secondary special | Married | Municipal apartment | 0.009175 | -10644 | -1165 | -3398.0 | -2392 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Medicine staff | 4.0 | 2 | 2 | THURSDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Other | NaN | 0.671807 | 0.418854 | 0.0 | 0.0 | 0.0 | 0.0 | -1752.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 110972 | 228738 | 0 | Revolving loans | F | N | N | 0 | 135000.0 | 202500.0 | 10125.0 | NaN | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.035792 | -14735 | -1433 | -4146.0 | -4202 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Laborers | 1.0 | 2 | 2 | MONDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Transport: type 4 | NaN | 0.665971 | 0.661024 | 0.0 | 0.0 | 0.0 | 0.0 | -2553.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 112566 | 230576 | 0 | Revolving loans | F | N | Y | 1 | 54000.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Higher education | Married | House / apartment | 0.009175 | -12222 | -2090 | -1789.0 | -3835 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 3.0 | 2 | 2 | MONDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Industry: type 11 | 0.706025 | 0.771678 | 0.389339 | 0.0 | 0.0 | 0.0 | 0.0 | -1889.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 113036 | 231102 | 0 | Revolving loans | F | N | N | 0 | 126000.0 | 202500.0 | 10125.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.019101 | -12646 | -4335 | -741.0 | -4894 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | High skill tech staff | 2.0 | 2 | 2 | THURSDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Transport: type 3 | 0.341123 | 0.532212 | 0.540654 | 2.0 | 0.0 | 2.0 | 0.0 | -1797.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 113251 | 231347 | 0 | Revolving loans | F | N | Y | 0 | 90000.0 | 270000.0 | 13500.0 | NaN | NaN | Commercial associate | Secondary / secondary special | Civil marriage | House / apartment | 0.024610 | -15661 | -377 | -4683.0 | -4677 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Core staff | 2.0 | 2 | 2 | SATURDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | School | NaN | 0.575070 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1281.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 |
| 113449 | 231576 | 0 | Revolving loans | F | N | Y | 1 | 135000.0 | 405000.0 | 20250.0 | NaN | NaN | Working | Higher education | Married | House / apartment | 0.030755 | -10363 | -1861 | -4926.0 | -2964 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 3.0 | 2 | 2 | MONDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.695052 | 0.272134 | 0.0 | 0.0 | 0.0 | 0.0 | -740.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 114314 | 232572 | 0 | Revolving loans | M | N | N | 0 | 783000.0 | 1237500.0 | 61875.0 | NaN | NaN | Working | Higher education | Married | House / apartment | 0.046220 | -11633 | -91 | -467.0 | -4303 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | IT staff | 2.0 | 1 | 1 | TUESDAY | 18 | 0 | 1 | 1 | 0 | 1 | 1 | Other | NaN | 0.732190 | 0.504681 | 0.0 | 0.0 | 0.0 | 0.0 | -179.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 |
| 114788 | 233103 | 0 | Revolving loans | F | N | Y | 0 | 112500.0 | 225000.0 | 11250.0 | NaN | NaN | Commercial associate | Higher education | Separated | House / apartment | 0.014520 | -9556 | -2103 | -4404.0 | -2192 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Core staff | 1.0 | 2 | 2 | THURSDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Trade: type 2 | 0.352601 | 0.622302 | 0.248536 | 0.0 | 0.0 | 0.0 | 0.0 | -492.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 |
| 116575 | 235188 | 0 | Revolving loans | F | N | Y | 0 | 112500.0 | 180000.0 | 9000.0 | NaN | NaN | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.025164 | -23089 | 365243 | -4693.0 | -4692 | NaN | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | SATURDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.439298 | 0.683269 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 117302 | 236029 | 0 | Revolving loans | M | N | N | 0 | 166500.0 | 270000.0 | 13500.0 | NaN | NaN | State servant | Higher education | Married | House / apartment | 0.004960 | -12264 | -3386 | -1732.0 | -4522 | NaN | 1 | 1 | 0 | 1 | 1 | 1 | Drivers | 2.0 | 2 | 2 | FRIDAY | 12 | 0 | 0 | 0 | 0 | 1 | 1 | Police | NaN | 0.621624 | 0.729567 | 0.0 | 0.0 | 0.0 | 0.0 | -363.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 117471 | 236212 | 0 | Revolving loans | F | N | Y | 0 | 135000.0 | 405000.0 | 20250.0 | NaN | NaN | Pensioner | Secondary / secondary special | Married | House / apartment | 0.030755 | -22304 | 365243 | -7563.0 | -4441 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.695854 | 0.780144 | 0.0 | 0.0 | 0.0 | 0.0 | -1835.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 |
| 117483 | 236227 | 0 | Revolving loans | F | N | Y | 1 | 157500.0 | 405000.0 | 20250.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.016612 | -10576 | -1902 | -1086.0 | -18 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Drivers | 3.0 | 2 | 2 | SUNDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.592797 | 0.406617 | 0.0 | 0.0 | 0.0 | 0.0 | -1783.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 123354 | 243050 | 0 | Revolving loans | F | N | N | 0 | 45000.0 | 135000.0 | 6750.0 | NaN | NaN | Working | Secondary / secondary special | Single / not married | With parents | 0.009657 | -7898 | -1198 | -4493.0 | -583 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | THURSDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.178164 | 0.242065 | 0.425893 | 0.0 | 0.0 | 0.0 | 0.0 | -223.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 124123 | 243942 | 0 | Revolving loans | M | N | Y | 0 | 157500.0 | 202500.0 | 10125.0 | NaN | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.005313 | -15911 | -6468 | -621.0 | -369 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Managers | 2.0 | 2 | 2 | SATURDAY | 20 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | NaN | 0.639995 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1736.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 124436 | 244308 | 0 | Revolving loans | F | N | Y | 0 | 90000.0 | 135000.0 | 6750.0 | NaN | NaN | Commercial associate | Secondary / secondary special | Single / not married | House / apartment | 0.009334 | -9556 | -308 | -9525.0 | -2215 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Sales staff | 1.0 | 2 | 2 | SATURDAY | 17 | 0 | 0 | 0 | 1 | 1 | 0 | Self-employed | NaN | 0.644622 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1198.0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 124770 | 244697 | 1 | Revolving loans | F | N | Y | 1 | 103500.0 | 135000.0 | 6750.0 | NaN | NaN | State servant | Secondary / secondary special | Married | House / apartment | 0.005313 | -16083 | -531 | -1156.0 | -4571 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Core staff | 3.0 | 2 | 2 | FRIDAY | 16 | 0 | 0 | 0 | 0 | 1 | 1 | Agriculture | NaN | 0.629083 | 0.583238 | 0.0 | 0.0 | 0.0 | 0.0 | -1957.0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 128354 | 248885 | 0 | Revolving loans | F | N | Y | 0 | 112500.0 | 225000.0 | 11250.0 | NaN | NaN | Working | Higher education | Married | House / apartment | 0.018634 | -12516 | -491 | -319.0 | -2716 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Sales staff | 2.0 | 2 | 2 | TUESDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.146971 | 0.665713 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -702.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 129705 | 250439 | 0 | Revolving loans | F | N | N | 1 | 54000.0 | 180000.0 | 9000.0 | NaN | NaN | Commercial associate | Higher education | Married | House / apartment | 0.015221 | -10011 | -978 | -4345.0 | -727 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Sales staff | 3.0 | 2 | 2 | TUESDAY | 11 | 0 | 0 | 0 | 0 | 1 | 1 | Trade: type 2 | 0.424408 | 0.370048 | 0.535276 | 2.0 | 0.0 | 1.0 | 0.0 | -900.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 130737 | 251638 | 0 | Revolving loans | F | N | N | 0 | 553500.0 | 675000.0 | 33750.0 | NaN | NaN | Commercial associate | Higher education | Married | House / apartment | 0.006629 | -14345 | -3560 | -6525.0 | -4622 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Accountants | 2.0 | 2 | 2 | FRIDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Security | NaN | 0.658630 | 0.513694 | 0.0 | 0.0 | 0.0 | 0.0 | -2342.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 130800 | 251708 | 0 | Revolving loans | F | N | Y | 0 | 135000.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Lower secondary | Single / not married | With parents | 0.019689 | -7904 | -1002 | -7074.0 | -562 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Sales staff | 1.0 | 2 | 2 | FRIDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.165292 | 0.216059 | 0.263647 | 7.0 | 0.0 | 7.0 | 0.0 | -542.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 131669 | 252707 | 0 | Revolving loans | F | N | Y | 1 | 90000.0 | 157500.0 | 7875.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.030755 | -9018 | -361 | -9003.0 | -1215 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 3.0 | 2 | 2 | SATURDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Kindergarten | 0.255132 | 0.238266 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -252.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 132208 | 253336 | 0 | Revolving loans | M | N | Y | 1 | 247500.0 | 585000.0 | 29250.0 | NaN | NaN | Working | Higher education | Civil marriage | House / apartment | 0.014464 | -17845 | -873 | -5488.0 | -1353 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Managers | 3.0 | 2 | 2 | FRIDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | NaN | 0.707407 | 0.551381 | 0.0 | 0.0 | 0.0 | 0.0 | -2314.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 133526 | 254865 | 0 | Revolving loans | M | N | Y | 1 | 180000.0 | 382500.0 | 19125.0 | NaN | NaN | Working | Higher education | Married | House / apartment | 0.031329 | -14756 | -2327 | -8861.0 | -4352 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Managers | 3.0 | 2 | 2 | SATURDAY | 13 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | 0.846427 | 0.754487 | 0.256706 | 3.0 | 0.0 | 3.0 | 0.0 | -1832.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 133548 | 254889 | 0 | Revolving loans | F | N | Y | 0 | 157500.0 | 450000.0 | 22500.0 | NaN | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.072508 | -11097 | -1453 | -2996.0 | -2915 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 2.0 | 1 | 1 | FRIDAY | 19 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.813345 | 0.672240 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -350.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 6.0 | 0.0 | 1.0 |
| 134298 | 255767 | 0 | Revolving loans | F | N | Y | 0 | 202500.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.010006 | -10382 | -671 | -3609.0 | -3045 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Core staff | 1.0 | 2 | 2 | TUESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Trade: type 3 | 0.676946 | 0.454783 | 0.397946 | 0.0 | 0.0 | 0.0 | 0.0 | -910.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 134327 | 255803 | 0 | Revolving loans | F | N | Y | 0 | 135000.0 | 337500.0 | 16875.0 | NaN | NaN | Pensioner | Secondary / secondary special | Married | House / apartment | 0.006671 | -21224 | 365243 | -6961.0 | -4399 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | Cleaning staff | 2.0 | 2 | 2 | FRIDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.723151 | NaN | 2.0 | 0.0 | 2.0 | 0.0 | -1289.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 136330 | 258130 | 0 | Revolving loans | M | N | Y | 0 | 112500.0 | 270000.0 | 13500.0 | NaN | NaN | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.018029 | -14673 | -1446 | -3024.0 | -231 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Sales staff | 2.0 | 3 | 3 | TUESDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.287243 | 0.384364 | 0.519097 | 1.0 | 0.0 | 1.0 | 0.0 | -1418.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 136424 | 258241 | 0 | Revolving loans | F | N | Y | 0 | 90000.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.030755 | -19428 | -238 | -5212.0 | -1521 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | SATURDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | NaN | 0.670407 | 0.362277 | 3.0 | 0.0 | 3.0 | 0.0 | -2199.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 |
| 137091 | 259002 | 0 | Revolving loans | M | N | Y | 0 | 67500.0 | 270000.0 | 13500.0 | NaN | NaN | Working | Higher education | Separated | House / apartment | 0.009175 | -18673 | -955 | -6006.0 | -2218 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Managers | 1.0 | 2 | 2 | WEDNESDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.738843 | 0.511892 | 1.0 | 1.0 | 1.0 | 1.0 | -862.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 137354 | 259301 | 0 | Revolving loans | M | N | Y | 1 | 99000.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Higher education | Civil marriage | House / apartment | 0.009549 | -11687 | -155 | -2972.0 | -4353 | NaN | 1 | 1 | 1 | 1 | 1 | 1 | NaN | 3.0 | 2 | 2 | TUESDAY | 11 | 0 | 1 | 1 | 0 | 1 | 1 | Trade: type 7 | 0.192187 | 0.490010 | 0.270707 | 1.0 | 0.0 | 1.0 | 0.0 | -1106.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 137374 | 259325 | 0 | Revolving loans | F | N | Y | 0 | 225000.0 | 585000.0 | 29250.0 | NaN | NaN | State servant | Higher education | Single / not married | House / apartment | 0.005084 | -16419 | -6879 | -10178.0 | -4243 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Core staff | 1.0 | 2 | 2 | FRIDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Police | 0.735613 | 0.736295 | 0.148254 | 0.0 | 0.0 | 0.0 | 0.0 | -757.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 139558 | 261811 | 0 | Revolving loans | M | N | N | 0 | 67500.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.031329 | -10296 | -90 | -2165.0 | -2970 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Managers | 1.0 | 2 | 2 | THURSDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Government | 0.221701 | 0.446766 | 0.604113 | 1.0 | 0.0 | 1.0 | 0.0 | -1790.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 142605 | 265357 | 0 | Revolving loans | F | N | Y | 2 | 72000.0 | 135000.0 | 6750.0 | NaN | NaN | Working | Higher education | Married | House / apartment | 0.007120 | -11819 | -4369 | -3239.0 | -4030 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Core staff | 4.0 | 2 | 2 | MONDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | School | 0.455622 | 0.663505 | 0.418854 | 0.0 | 0.0 | 0.0 | 0.0 | -1281.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 143606 | 266519 | 0 | Revolving loans | F | N | Y | 0 | 153000.0 | 270000.0 | 13500.0 | NaN | NaN | State servant | Secondary / secondary special | Married | House / apartment | 0.014464 | -15165 | -3268 | -9292.0 | -4914 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Core staff | 2.0 | 2 | 2 | FRIDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Police | 0.511181 | 0.658831 | 0.577969 | 0.0 | 0.0 | 0.0 | 0.0 | -191.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 145137 | 268295 | 0 | Revolving loans | M | N | N | 0 | 90000.0 | 202500.0 | 10125.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.009175 | -11203 | -1943 | -4902.0 | -3396 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Sales staff | 2.0 | 2 | 2 | SUNDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Trade: type 2 | NaN | 0.385027 | 0.488455 | 5.0 | 0.0 | 5.0 | 0.0 | -1421.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 |
| 145278 | 268463 | 0 | Revolving loans | F | N | N | 0 | 225000.0 | 202500.0 | 10125.0 | NaN | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.030755 | -16400 | -6763 | -10411.0 | -4799 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Core staff | 2.0 | 2 | 2 | FRIDAY | 16 | 0 | 0 | 0 | 0 | 1 | 1 | Self-employed | NaN | 0.157674 | 0.715103 | 2.0 | 0.0 | 2.0 | 0.0 | -2289.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 145594 | 268818 | 0 | Revolving loans | F | N | Y | 0 | 112500.0 | 337500.0 | 16875.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.010147 | -16928 | -2780 | -3003.0 | -473 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Sales staff | 2.0 | 2 | 2 | MONDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.652550 | 0.246148 | 0.720944 | 1.0 | 0.0 | 1.0 | 0.0 | -1857.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 147294 | 270776 | 0 | Revolving loans | F | N | N | 2 | 202500.0 | 135000.0 | 6750.0 | NaN | NaN | Working | Secondary / secondary special | Separated | With parents | 0.035792 | -10376 | -466 | -2266.0 | -2197 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Sales staff | 3.0 | 2 | 2 | SUNDAY | 13 | 0 | 1 | 1 | 0 | 1 | 1 | Business Entity Type 3 | NaN | 0.256754 | 0.656158 | 4.0 | 0.0 | 4.0 | 0.0 | -1225.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 149045 | 272806 | 0 | Revolving loans | F | N | Y | 2 | 45000.0 | 135000.0 | 6750.0 | NaN | NaN | State servant | Secondary / secondary special | Married | House / apartment | 0.008575 | -8657 | -1751 | -1035.0 | -1337 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Core staff | 4.0 | 2 | 2 | TUESDAY | 12 | 0 | 0 | 0 | 0 | 1 | 1 | Government | 0.270895 | 0.568683 | 0.553165 | 0.0 | 0.0 | 0.0 | 0.0 | -647.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 |
| 149111 | 272877 | 0 | Revolving loans | F | N | Y | 2 | 81000.0 | 247500.0 | 12375.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.018634 | -13277 | -1589 | -2847.0 | -4253 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Sales staff | 4.0 | 2 | 2 | THURSDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | NaN | 0.066912 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -653.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 3.0 |
| 149562 | 273397 | 0 | Revolving loans | F | N | N | 0 | 157500.0 | 270000.0 | 13500.0 | NaN | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.025164 | -10173 | -932 | -10152.0 | -2393 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Core staff | 2.0 | 2 | 2 | THURSDAY | 7 | 0 | 0 | 0 | 1 | 1 | 0 | Self-employed | 0.366523 | 0.718044 | 0.318596 | 4.0 | 0.0 | 4.0 | 0.0 | -481.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 150425 | 274382 | 0 | Revolving loans | M | N | N | 0 | 180000.0 | 270000.0 | 13500.0 | NaN | NaN | Working | Secondary / secondary special | Single / not married | With parents | 0.035792 | -10275 | -1937 | -4103.0 | -2946 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | THURSDAY | 17 | 0 | 0 | 0 | 1 | 1 | 0 | Other | 0.280847 | 0.653978 | 0.263647 | 1.0 | 0.0 | 1.0 | 0.0 | -174.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 |
| 152608 | 276875 | 0 | Revolving loans | F | N | Y | 0 | 112500.0 | 270000.0 | 13500.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.046220 | -17936 | -10109 | -11682.0 | -1127 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Medicine staff | 2.0 | 1 | 1 | MONDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Medicine | 0.614312 | 0.714221 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -993.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 152898 | 277210 | 1 | Revolving loans | F | N | Y | 0 | 225000.0 | 315000.0 | 15750.0 | NaN | NaN | Working | Secondary / secondary special | Single / not married | Office apartment | 0.019101 | -21416 | -4621 | -8460.0 | -4085 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 1.0 | 2 | 2 | SATURDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | NaN | 0.722301 | 0.431192 | 0.0 | 0.0 | 0.0 | 0.0 | -816.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 4.0 |
| 153801 | 278254 | 1 | Revolving loans | F | N | Y | 0 | 90000.0 | 135000.0 | 6750.0 | NaN | NaN | Commercial associate | Secondary / secondary special | Single / not married | House / apartment | 0.006008 | -10223 | -1037 | -4074.0 | -1717 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Sales staff | 1.0 | 2 | 2 | THURSDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.333414 | 0.522128 | NaN | 5.0 | 3.0 | 5.0 | 3.0 | -793.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 155673 | 280456 | 0 | Revolving loans | F | N | Y | 1 | 58500.0 | 157500.0 | 7875.0 | NaN | NaN | Working | Higher education | Single / not married | House / apartment | 0.006207 | -9636 | -1803 | -3788.0 | -806 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Accountants | 2.0 | 2 | 2 | SATURDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Government | NaN | 0.538261 | 0.450747 | 2.0 | 0.0 | 2.0 | 0.0 | -626.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 155716 | 280504 | 0 | Revolving loans | F | N | Y | 0 | 96750.0 | 157500.0 | 7875.0 | NaN | NaN | Pensioner | Secondary / secondary special | Separated | House / apartment | 0.019689 | -23710 | 365243 | -14806.0 | -4297 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | WEDNESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.283742 | 0.537070 | 0.0 | 0.0 | 0.0 | 0.0 | -2183.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 156456 | 281353 | 0 | Revolving loans | M | N | Y | 4 | 180000.0 | 900000.0 | 45000.0 | NaN | NaN | Working | Higher education | Married | House / apartment | 0.010006 | -15496 | -2804 | -836.0 | -2344 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Managers | 6.0 | 2 | 2 | FRIDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Transport: type 4 | NaN | 0.788781 | 0.158555 | 0.0 | 0.0 | 0.0 | 0.0 | -1904.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 158563 | 283824 | 0 | Revolving loans | M | N | Y | 0 | 292500.0 | 675000.0 | 33750.0 | NaN | NaN | Commercial associate | Secondary / secondary special | Single / not married | House / apartment | 0.019689 | -15003 | -1753 | -6498.0 | -2216 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Laborers | 1.0 | 2 | 2 | THURSDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.378930 | 0.265049 | 3.0 | 0.0 | 3.0 | 0.0 | -233.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 |
| 158785 | 284082 | 0 | Revolving loans | F | N | Y | 0 | 247500.0 | 405000.0 | 20250.0 | NaN | NaN | Commercial associate | Higher education | Married | House / apartment | 0.018850 | -10867 | -286 | -5510.0 | -3475 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | High skill tech staff | 2.0 | 2 | 2 | THURSDAY | 12 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 2 | 0.567452 | 0.324049 | 0.399676 | 0.0 | 0.0 | 0.0 | 0.0 | -477.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 161730 | 287492 | 0 | Revolving loans | F | N | Y | 0 | 67500.0 | 135000.0 | 6750.0 | NaN | NaN | Pensioner | Secondary / secondary special | Married | House / apartment | 0.031329 | -22374 | 365243 | -4751.0 | -4816 | NaN | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.545123 | 0.852828 | 0.0 | 0.0 | 0.0 | 0.0 | -2609.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 163709 | 289773 | 0 | Revolving loans | F | N | Y | 0 | 90000.0 | 337500.0 | 16875.0 | NaN | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.007020 | -16454 | -1977 | -5819.0 | -11 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Cooking staff | 2.0 | 2 | 2 | SATURDAY | 11 | 0 | 0 | 0 | 0 | 1 | 1 | Other | NaN | 0.252190 | 0.626304 | 0.0 | 0.0 | 0.0 | 0.0 | -38.0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 163889 | 289983 | 0 | Revolving loans | F | N | Y | 0 | 90000.0 | 225000.0 | 11250.0 | NaN | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.005084 | -9846 | -2612 | -9715.0 | -2520 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Medicine staff | 1.0 | 2 | 2 | MONDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Medicine | NaN | 0.545936 | NaN | 3.0 | 2.0 | 3.0 | 2.0 | -1483.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 167777 | 294482 | 0 | Revolving loans | F | N | Y | 1 | 99000.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.009334 | -7994 | -1284 | -1657.0 | -426 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Core staff | 3.0 | 2 | 2 | MONDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Transport: type 2 | 0.254501 | 0.506059 | NaN | 3.0 | 1.0 | 3.0 | 0.0 | -245.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 168169 | 294934 | 0 | Revolving loans | M | N | Y | 1 | 202500.0 | 202500.0 | 10125.0 | NaN | NaN | Working | Secondary / secondary special | Married | Municipal apartment | 0.015221 | -10212 | -2294 | -67.0 | -2868 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 3.0 | 2 | 2 | SATURDAY | 12 | 0 | 0 | 0 | 0 | 1 | 1 | Industry: type 9 | NaN | 0.449199 | 0.546023 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 168588 | 295417 | 0 | Revolving loans | F | N | Y | 1 | 67500.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.018634 | -8141 | -592 | -6985.0 | -812 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Cooking staff | 2.0 | 2 | 2 | TUESDAY | 9 | 0 | 1 | 1 | 0 | 1 | 1 | Restaurant | NaN | 0.161679 | 0.602386 | 0.0 | 0.0 | 0.0 | 0.0 | -361.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 169101 | 296002 | 0 | Revolving loans | F | N | N | 0 | 112500.0 | 337500.0 | 16875.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.022625 | -18986 | -1039 | -8775.0 | -2521 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Sales staff | 2.0 | 2 | 2 | TUESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.643938 | 0.462634 | 0.751724 | 4.0 | 0.0 | 4.0 | 0.0 | -1089.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 176663 | 304718 | 0 | Revolving loans | F | N | Y | 0 | 180000.0 | 270000.0 | 13500.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.010500 | -14207 | -2178 | -8014.0 | -788 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Managers | 2.0 | 3 | 3 | MONDAY | 12 | 0 | 0 | 0 | 1 | 1 | 0 | Self-employed | 0.538241 | 0.515659 | 0.495666 | 1.0 | 1.0 | 1.0 | 1.0 | -508.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 179626 | 308153 | 0 | Revolving loans | M | N | Y | 0 | 90000.0 | 270000.0 | 13500.0 | NaN | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.019689 | -20105 | -903 | -8938.0 | -3544 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Drivers | 2.0 | 2 | 2 | THURSDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.703870 | 0.454013 | 0.627991 | 0.0 | 0.0 | 0.0 | 0.0 | -697.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 180925 | 309672 | 0 | Revolving loans | F | N | Y | 2 | 90000.0 | 270000.0 | 13500.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.019101 | -12760 | -4047 | -5247.0 | -3965 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 4.0 | 2 | 2 | TUESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Construction | NaN | 0.256341 | 0.410103 | 0.0 | 0.0 | 0.0 | 0.0 | -926.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 183381 | 312551 | 0 | Revolving loans | F | N | Y | 1 | 135000.0 | 180000.0 | 9000.0 | NaN | NaN | Commercial associate | Higher education | Separated | House / apartment | 0.008575 | -10809 | -999 | -841.0 | -789 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Core staff | 2.0 | 2 | 2 | FRIDAY | 10 | 0 | 0 | 0 | 1 | 1 | 1 | Trade: type 2 | 0.658640 | 0.583894 | 0.192942 | 0.0 | 0.0 | 0.0 | 0.0 | -149.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 184811 | 314222 | 0 | Revolving loans | M | N | Y | 0 | 112500.0 | 202500.0 | 10125.0 | NaN | NaN | Working | Incomplete higher | Married | House / apartment | 0.015221 | -12622 | -1567 | -4583.0 | -4590 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Laborers | 2.0 | 2 | 2 | TUESDAY | 15 | 0 | 0 | 0 | 0 | 1 | 1 | Self-employed | 0.563208 | 0.523923 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -907.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 186634 | 316367 | 1 | Revolving loans | M | N | Y | 1 | 67500.0 | 202500.0 | 10125.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.031329 | -14709 | -6608 | -5394.0 | -3469 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Security staff | 3.0 | 2 | 2 | MONDAY | 12 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 2 | NaN | 0.401519 | 0.591977 | 0.0 | 0.0 | 0.0 | 0.0 | -172.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 187032 | 316821 | 0 | Revolving loans | F | N | Y | 0 | 90000.0 | 337500.0 | 16875.0 | NaN | NaN | Commercial associate | Secondary / secondary special | Widow | House / apartment | 0.009630 | -14401 | -4982 | -5055.0 | -5163 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 1.0 | 2 | 2 | FRIDAY | 19 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.379473 | 0.620826 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1910.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 187120 | 316922 | 0 | Revolving loans | M | N | Y | 0 | 157500.0 | 450000.0 | 22500.0 | NaN | NaN | Pensioner | Secondary / secondary special | Married | Office apartment | 0.018029 | -23036 | 365243 | -1956.0 | -5371 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 3 | 3 | FRIDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.812972 | 0.248121 | NaN | 6.0 | 0.0 | 6.0 | 0.0 | -1231.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 187145 | 316954 | 0 | Revolving loans | M | N | Y | 0 | 109467.0 | 135000.0 | 6750.0 | NaN | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.018801 | -9780 | -1310 | -3641.0 | -1600 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | FRIDAY | 8 | 0 | 0 | 0 | 1 | 1 | 0 | Trade: type 7 | NaN | 0.242764 | NaN | 7.0 | 2.0 | 7.0 | 2.0 | -1010.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 187167 | 316976 | 0 | Revolving loans | F | N | Y | 0 | 81000.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Widow | House / apartment | 0.008575 | -14295 | -1129 | -8335.0 | -5058 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Sales staff | 1.0 | 2 | 2 | SUNDAY | 13 | 0 | 0 | 0 | 1 | 1 | 0 | Trade: type 3 | 0.532372 | 0.585710 | 0.223831 | 0.0 | 0.0 | 0.0 | 0.0 | -972.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 187348 | 317181 | 0 | Revolving loans | F | N | Y | 0 | 202500.0 | 585000.0 | 29250.0 | NaN | NaN | Commercial associate | Higher education | Unknown | House / apartment | 0.031329 | -12844 | -232 | -1597.0 | -1571 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Accountants | NaN | 2 | 2 | FRIDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | NaN | 0.645168 | 0.670652 | 1.0 | 0.0 | 1.0 | 0.0 | -654.0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 188475 | 318512 | 0 | Revolving loans | F | N | Y | 0 | 90000.0 | 180000.0 | 9000.0 | NaN | NaN | Pensioner | Secondary / secondary special | Single / not married | House / apartment | 0.018209 | -22925 | 365243 | -12192.0 | -4867 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 3 | 3 | SATURDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.738379 | 0.762336 | 2.0 | 1.0 | 2.0 | 0.0 | -1344.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 190113 | 320433 | 1 | Revolving loans | F | N | Y | 1 | 112500.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.026392 | -8329 | -1287 | -608.0 | -20 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Private service staff | 2.0 | 2 | 2 | THURSDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Services | NaN | 0.531335 | NaN | 1.0 | 1.0 | 1.0 | 1.0 | -524.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 191858 | 322471 | 0 | Revolving loans | F | N | N | 0 | 63000.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Single / not married | Rented apartment | 0.007305 | -7712 | -458 | -6432.0 | -387 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Cleaning staff | 1.0 | 3 | 3 | THURSDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.272387 | 0.145654 | 0.134265 | 1.0 | 1.0 | 1.0 | 1.0 | -373.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 193826 | 324762 | 0 | Revolving loans | F | N | Y | 0 | 112500.0 | 180000.0 | 9000.0 | NaN | NaN | State servant | Secondary / secondary special | Widow | House / apartment | 0.006852 | -16145 | -1372 | -4490.0 | -4504 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Security staff | 1.0 | 3 | 3 | SATURDAY | 13 | 0 | 0 | 0 | 0 | 1 | 1 | School | NaN | 0.145703 | 0.328063 | 0.0 | 0.0 | 0.0 | 0.0 | -990.0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 7.0 |
| 195008 | 326127 | 0 | Revolving loans | F | N | Y | 1 | 67500.0 | 202500.0 | 10125.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.010500 | -13341 | -6352 | -2567.0 | -4778 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Accountants | 3.0 | 3 | 3 | SUNDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Other | NaN | 0.552557 | 0.694093 | 0.0 | 0.0 | 0.0 | 0.0 | -305.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 |
| 195851 | 327096 | 0 | Revolving loans | F | N | Y | 0 | 125550.0 | 225000.0 | 11250.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.016612 | -18481 | -3008 | -5450.0 | -2026 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | High skill tech staff | 2.0 | 2 | 2 | SATURDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Electricity | 0.547073 | 0.464407 | 0.700184 | 3.0 | 0.0 | 3.0 | 0.0 | -1279.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 195936 | 327191 | 0 | Revolving loans | M | N | N | 0 | 112500.0 | 270000.0 | 13500.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.025164 | -13651 | -5934 | -1443.0 | -4435 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Drivers | 2.0 | 2 | 2 | THURSDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.488731 | 0.506484 | 0.0 | 0.0 | 0.0 | 0.0 | -633.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 |
| 197105 | 328529 | 0 | Revolving loans | F | N | Y | 0 | 90000.0 | 337500.0 | 16875.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.030755 | -17190 | -625 | -7346.0 | -739 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Sales staff | 2.0 | 2 | 2 | SUNDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Trade: type 3 | NaN | 0.637826 | 0.450747 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 197647 | 329156 | 0 | Revolving loans | F | N | Y | 1 | 135000.0 | 270000.0 | 13500.0 | NaN | NaN | State servant | Higher education | Married | House / apartment | 0.006629 | -12227 | -5585 | -3163.0 | -4674 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Medicine staff | 3.0 | 2 | 2 | TUESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Medicine | NaN | 0.571754 | 0.614414 | 1.0 | 0.0 | 1.0 | 0.0 | -902.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 199643 | 331445 | 0 | Revolving loans | F | N | Y | 1 | 87750.0 | 225000.0 | 11250.0 | NaN | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.022800 | -10062 | -165 | -4259.0 | -2706 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Core staff | 2.0 | 2 | 2 | MONDAY | 16 | 0 | 0 | 0 | 1 | 1 | 0 | Trade: type 2 | 0.334749 | 0.265312 | 0.553165 | 1.0 | 0.0 | 1.0 | 0.0 | -2131.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 200312 | 332213 | 0 | Revolving loans | F | N | Y | 0 | 216000.0 | 765000.0 | 38250.0 | NaN | NaN | Working | Incomplete higher | Married | House / apartment | 0.046220 | -17430 | -4791 | -1951.0 | -969 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 2.0 | 1 | 1 | TUESDAY | 12 | 0 | 0 | 0 | 1 | 1 | 0 | Self-employed | 0.598375 | 0.363537 | 0.461482 | 0.0 | 0.0 | 0.0 | 0.0 | -1386.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 201823 | 333949 | 0 | Revolving loans | F | N | Y | 1 | 112500.0 | 337500.0 | 16875.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.018634 | -14194 | -369 | -6751.0 | -2124 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Accountants | 3.0 | 2 | 2 | FRIDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Government | 0.820506 | 0.394268 | 0.657784 | 0.0 | 0.0 | 0.0 | 0.0 | -685.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 202896 | 335206 | 0 | Revolving loans | F | N | Y | 0 | 67500.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.024610 | -7721 | -616 | -2569.0 | -357 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Sales staff | 1.0 | 2 | 2 | FRIDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.589732 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -351.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 204519 | 337101 | 0 | Revolving loans | F | N | N | 0 | 202500.0 | 360000.0 | 18000.0 | NaN | NaN | Commercial associate | Higher education | Married | House / apartment | 0.072508 | -8940 | -2248 | -8927.0 | -1443 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Sales staff | 2.0 | 1 | 1 | FRIDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.335980 | 0.050720 | 0.401407 | 0.0 | 0.0 | 0.0 | 0.0 | -459.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 206222 | 339033 | 0 | Revolving loans | F | N | Y | 0 | 126000.0 | 337500.0 | 16875.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.026392 | -14229 | -2526 | -3496.0 | -4129 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Core staff | 2.0 | 2 | 2 | SUNDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Government | 0.596721 | 0.388699 | 0.492060 | 0.0 | 0.0 | 0.0 | 0.0 | -339.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 207015 | 339947 | 0 | Revolving loans | F | N | Y | 1 | 283500.0 | 855000.0 | 42750.0 | NaN | NaN | Working | Secondary / secondary special | Widow | House / apartment | 0.030755 | -11284 | -1531 | -2858.0 | -3215 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Sales staff | 2.0 | 2 | 2 | MONDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.381457 | 0.660755 | 0.413597 | 2.0 | 0.0 | 2.0 | 0.0 | -2347.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 209338 | 342625 | 0 | Revolving loans | F | N | Y | 0 | 112500.0 | 247500.0 | 12375.0 | NaN | NaN | Commercial associate | Higher education | Married | House / apartment | 0.018209 | -15613 | -2564 | -4308.0 | -4631 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Accountants | 2.0 | 3 | 3 | FRIDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.485814 | 0.742182 | 0.0 | 0.0 | 0.0 | 0.0 | -1721.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 5.0 |
| 209657 | 342986 | 0 | Revolving loans | M | N | Y | 0 | 108000.0 | 180000.0 | 9000.0 | NaN | NaN | Commercial associate | Secondary / secondary special | Single / not married | House / apartment | 0.031329 | -8898 | -491 | -3758.0 | -1518 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Low-skill Laborers | 1.0 | 2 | 2 | TUESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | 0.229657 | 0.573300 | 0.448962 | 0.0 | 0.0 | 0.0 | 0.0 | -1007.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 |
| 210718 | 344187 | 1 | Revolving loans | F | N | N | 1 | 108000.0 | 247500.0 | 12375.0 | NaN | NaN | State servant | Secondary / secondary special | Married | Municipal apartment | 0.003818 | -16933 | -1285 | -2617.0 | -223 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Medicine staff | 3.0 | 2 | 2 | TUESDAY | 8 | 0 | 0 | 0 | 0 | 1 | 1 | Medicine | NaN | 0.520595 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -166.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 211090 | 344622 | 0 | Revolving loans | F | N | Y | 0 | 45000.0 | 157500.0 | 7875.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.008625 | -15167 | -4213 | -7864.0 | -5068 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Core staff | 2.0 | 2 | 2 | THURSDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Kindergarten | NaN | 0.119960 | 0.357293 | 0.0 | 0.0 | 0.0 | 0.0 | -927.0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 214803 | 348904 | 1 | Revolving loans | F | N | Y | 2 | 90000.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.008575 | -14016 | -3964 | -1739.0 | -4575 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 4.0 | 2 | 2 | FRIDAY | 11 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | 0.576595 | 0.635945 | 0.355639 | 0.0 | 0.0 | 0.0 | 0.0 | -1063.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 215137 | 349287 | 0 | Revolving loans | M | N | Y | 1 | 135000.0 | 270000.0 | 13500.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.022800 | -16109 | -1401 | -5950.0 | -4218 | NaN | 1 | 1 | 1 | 1 | 1 | 1 | Sales staff | 3.0 | 2 | 2 | SATURDAY | 9 | 0 | 0 | 0 | 0 | 1 | 1 | Trade: type 7 | 0.571693 | 0.104879 | 0.331251 | 3.0 | 0.0 | 3.0 | 0.0 | -812.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 |
| 215656 | 349877 | 0 | Revolving loans | F | N | N | 0 | 67500.0 | 135000.0 | 6750.0 | NaN | NaN | State servant | Secondary / secondary special | Separated | Co-op apartment | 0.020246 | -15935 | -7018 | -6881.0 | -5099 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 1.0 | 3 | 3 | MONDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Agriculture | 0.423708 | 0.310125 | 0.429424 | 0.0 | 0.0 | 0.0 | 0.0 | -1332.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 216059 | 350347 | 0 | Revolving loans | M | N | Y | 0 | 112500.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.030755 | -13939 | -697 | -3444.0 | -4853 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | High skill tech staff | 2.0 | 2 | 2 | FRIDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.335269 | 0.575262 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -221.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 216762 | 351158 | 0 | Revolving loans | F | N | N | 0 | 135000.0 | 405000.0 | 20250.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.010006 | -18525 | -2431 | -1805.0 | -2051 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Security staff | 2.0 | 2 | 2 | THURSDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.661727 | 0.503430 | 0.581484 | 2.0 | 0.0 | 2.0 | 0.0 | -425.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 216996 | 351432 | 0 | Revolving loans | M | N | Y | 0 | 67500.0 | 202500.0 | 10125.0 | NaN | NaN | State servant | Secondary / secondary special | Married | House / apartment | 0.018209 | -19084 | -3831 | -9386.0 | -2636 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Security staff | 2.0 | 3 | 3 | WEDNESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Security Ministries | 0.430543 | 0.409695 | 0.288130 | 0.0 | 0.0 | 0.0 | 0.0 | -748.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 218083 | 352663 | 0 | Revolving loans | M | N | Y | 0 | 180000.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.025164 | -7888 | -1065 | -7888.0 | -560 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | High skill tech staff | 1.0 | 2 | 2 | WEDNESDAY | 15 | 0 | 0 | 0 | 0 | 1 | 1 | Military | NaN | 0.638174 | 0.528093 | 3.0 | 1.0 | 3.0 | 1.0 | -679.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 218140 | 352730 | 0 | Revolving loans | F | N | Y | 1 | 67500.0 | 202500.0 | 10125.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.031329 | -18278 | -359 | -197.0 | -1746 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Cooking staff | 3.0 | 2 | 2 | THURSDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Restaurant | NaN | 0.702230 | NaN | 7.0 | 1.0 | 7.0 | 0.0 | -647.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 218981 | 353686 | 0 | Revolving loans | M | N | N | 0 | 57600.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.009334 | -18405 | -419 | -10358.0 | -1931 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | WEDNESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Housing | NaN | 0.564967 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -208.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 219070 | 353787 | 0 | Revolving loans | F | N | Y | 0 | 90000.0 | 270000.0 | 13500.0 | NaN | NaN | Working | Incomplete higher | Married | House / apartment | 0.026392 | -10973 | -496 | -10615.0 | -477 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Sales staff | 2.0 | 2 | 2 | FRIDAY | 19 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.600564 | 0.304672 | 0.0 | 0.0 | 0.0 | 0.0 | -465.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 |
| 219075 | 353792 | 0 | Revolving loans | F | N | Y | 0 | 112500.0 | 337500.0 | 16875.0 | NaN | NaN | Working | Secondary / secondary special | Widow | House / apartment | 0.003818 | -23141 | -5088 | -10574.0 | -4053 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Cleaning staff | 1.0 | 2 | 2 | TUESDAY | 3 | 0 | 0 | 0 | 0 | 0 | 0 | School | NaN | 0.342313 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1138.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 221204 | 356244 | 0 | Revolving loans | F | N | N | 1 | 90000.0 | 337500.0 | 16875.0 | NaN | NaN | Working | Secondary / secondary special | Married | Municipal apartment | 0.007114 | -13111 | -3350 | -7446.0 | -3519 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Core staff | 3.0 | 2 | 2 | WEDNESDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Medicine | 0.283461 | 0.262936 | 0.339288 | 0.0 | 0.0 | 0.0 | 0.0 | -1484.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 223226 | 358555 | 0 | Revolving loans | F | N | Y | 1 | 90000.0 | 135000.0 | 6750.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.020713 | -12233 | -4818 | -201.0 | -3237 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 3.0 | 3 | 3 | SUNDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | NaN | 0.109963 | 0.410103 | 4.0 | 0.0 | 4.0 | 0.0 | -78.0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 |
| 223502 | 358867 | 0 | Revolving loans | M | N | Y | 0 | 103500.0 | 270000.0 | 13500.0 | NaN | NaN | Commercial associate | Higher education | Single / not married | House / apartment | 0.025164 | -8402 | -402 | -7149.0 | -1060 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Laborers | 1.0 | 2 | 2 | THURSDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.149145 | 0.521692 | 0.470456 | 3.0 | 0.0 | 3.0 | 0.0 | -1719.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 |
| 225994 | 361759 | 0 | Revolving loans | F | N | Y | 1 | 76500.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Incomplete higher | Married | House / apartment | 0.008625 | -8401 | -1048 | -2957.0 | -1083 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Sales staff | 3.0 | 2 | 2 | TUESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.344287 | 0.145660 | 0.163426 | 0.0 | 0.0 | 0.0 | 0.0 | -549.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 8.0 |
| 226725 | 362616 | 1 | Revolving loans | F | N | Y | 0 | 76500.0 | 247500.0 | 12375.0 | NaN | NaN | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.028663 | -20072 | -1931 | -6006.0 | -367 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 2.0 | 2 | 2 | MONDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | NaN | 0.602200 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -794.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 227450 | 363460 | 0 | Revolving loans | M | N | Y | 0 | 202500.0 | 495000.0 | 24750.0 | NaN | NaN | Working | Higher education | Married | House / apartment | 0.020713 | -16190 | -3121 | -1436.0 | -5020 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Managers | 2.0 | 3 | 3 | WEDNESDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.531500 | 0.408089 | 0.230159 | 0.0 | 0.0 | 0.0 | 0.0 | -1374.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 |
| 229877 | 366256 | 1 | Revolving loans | M | N | Y | 0 | 202500.0 | 270000.0 | 13500.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.024610 | -15431 | -486 | -1747.0 | -2113 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 2.0 | 2 | 2 | TUESDAY | 12 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | NaN | 0.366604 | 0.427657 | 0.0 | 0.0 | 0.0 | 0.0 | -188.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 229923 | 366310 | 0 | Revolving loans | F | N | N | 0 | 135000.0 | 270000.0 | 13500.0 | NaN | NaN | Working | Higher education | Single / not married | With parents | 0.016612 | -12917 | -1288 | -1961.0 | -1966 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Core staff | 1.0 | 2 | 2 | TUESDAY | 14 | 0 | 0 | 0 | 0 | 1 | 1 | Self-employed | 0.783777 | 0.534857 | 0.154744 | 0.0 | 0.0 | 0.0 | 0.0 | -382.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 |
| 230455 | 366938 | 0 | Revolving loans | M | N | Y | 0 | 135000.0 | 270000.0 | 13500.0 | NaN | NaN | Working | Secondary / secondary special | Separated | House / apartment | 0.009175 | -16772 | -2257 | -10834.0 | -250 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | WEDNESDAY | 16 | 0 | 0 | 0 | 0 | 1 | 1 | Self-employed | NaN | 0.769098 | 0.593718 | 0.0 | 0.0 | 0.0 | 0.0 | -1782.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 |
| 230484 | 366971 | 0 | Revolving loans | F | N | Y | 1 | 90000.0 | 135000.0 | 6750.0 | NaN | NaN | Working | Higher education | Married | House / apartment | 0.010147 | -12594 | -2357 | -2894.0 | -2723 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Sales staff | 3.0 | 2 | 2 | THURSDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.584754 | 0.790072 | 0.746300 | 2.0 | 0.0 | 2.0 | 0.0 | -351.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 233542 | 370507 | 0 | Revolving loans | F | N | Y | 0 | 99000.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Higher education | Single / not married | House / apartment | 0.007305 | -9691 | -1052 | -4103.0 | -2363 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 1.0 | 3 | 3 | SATURDAY | 8 | 0 | 0 | 0 | 1 | 1 | 0 | Business Entity Type 3 | NaN | 0.529527 | 0.169429 | 0.0 | 0.0 | 0.0 | 0.0 | -1927.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 236260 | 373660 | 0 | Revolving loans | M | N | Y | 0 | 90000.0 | 247500.0 | 12375.0 | NaN | NaN | Pensioner | Secondary / secondary special | Married | House / apartment | 0.022625 | -20611 | 365243 | -1888.0 | -1035 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | MONDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.559014 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -874.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 236624 | 374077 | 0 | Revolving loans | M | N | N | 0 | 135000.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.008575 | -9561 | -2206 | -6633.0 | -2206 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 1.0 | 2 | 2 | TUESDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | NaN | 0.650118 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -1412.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 |
| 236974 | 374479 | 0 | Revolving loans | F | N | N | 1 | 225000.0 | 202500.0 | 10125.0 | NaN | NaN | Working | Secondary / secondary special | Separated | With parents | 0.020713 | -12869 | -2118 | -2960.0 | -503 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Accountants | 2.0 | 3 | 3 | WEDNESDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Telecom | 0.475145 | 0.548710 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1367.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 237074 | 374594 | 0 | Revolving loans | M | N | Y | 3 | 243000.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.025164 | -13569 | -2811 | -1052.0 | -4434 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 5.0 | 2 | 2 | THURSDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | NaN | 0.661696 | 0.798137 | 4.0 | 0.0 | 4.0 | 0.0 | 0.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 |
| 239491 | 377340 | 0 | Revolving loans | F | N | Y | 0 | 180000.0 | 405000.0 | 20250.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.018209 | -18894 | -6134 | -9446.0 | -2392 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 2.0 | 3 | 3 | SATURDAY | 8 | 0 | 0 | 0 | 0 | 1 | 1 | Military | 0.520916 | 0.576934 | 0.461482 | 2.0 | 0.0 | 2.0 | 0.0 | -1482.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 239835 | 377705 | 0 | Revolving loans | F | N | Y | 2 | 225000.0 | 202500.0 | 10125.0 | NaN | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.005084 | -14050 | -680 | -4525.0 | -4525 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Sales staff | 4.0 | 2 | 2 | SUNDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.486742 | 0.609276 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 240223 | 378214 | 0 | Revolving loans | F | N | Y | 0 | 54000.0 | 157500.0 | 7875.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.018634 | -19827 | -11367 | -9770.0 | -2794 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | School | NaN | 0.430334 | 0.132597 | 1.0 | 0.0 | 0.0 | 0.0 | -236.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 242000 | 380194 | 0 | Revolving loans | F | N | Y | 2 | 90000.0 | 247500.0 | 12375.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.006629 | -13436 | -78 | -3787.0 | -5239 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Sales staff | 4.0 | 2 | 2 | TUESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | NaN | 0.552606 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -654.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 242020 | 380214 | 0 | Revolving loans | F | N | N | 0 | 81000.0 | 135000.0 | 6750.0 | NaN | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.005313 | -9295 | -1310 | -9295.0 | -1986 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | SATURDAY | 10 | 0 | 0 | 0 | 1 | 1 | 0 | Business Entity Type 3 | NaN | 0.652824 | 0.239226 | 0.0 | 0.0 | 0.0 | 0.0 | -373.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 242307 | 380511 | 0 | Revolving loans | F | N | Y | 0 | 94500.0 | 135000.0 | 6750.0 | NaN | NaN | Pensioner | Secondary / secondary special | Married | House / apartment | 0.014520 | -20940 | 365243 | -6766.0 | -3964 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | Cleaning staff | 2.0 | 2 | 2 | SUNDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.673530 | 0.160489 | 3.0 | 1.0 | 3.0 | 1.0 | -1462.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 242644 | 380891 | 0 | Revolving loans | M | N | Y | 2 | 112500.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.010500 | -10229 | -1468 | -893.0 | -2628 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 4.0 | 3 | 3 | FRIDAY | 10 | 0 | 1 | 1 | 0 | 1 | 1 | Business Entity Type 3 | 0.280868 | 0.285898 | 0.374021 | 0.0 | 0.0 | 0.0 | 0.0 | -2295.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 243268 | 381622 | 0 | Revolving loans | F | N | Y | 1 | 292500.0 | 180000.0 | 9000.0 | NaN | NaN | State servant | Higher education | Married | House / apartment | 0.072508 | -13634 | -380 | -6919.0 | -1537 | NaN | 1 | 1 | 1 | 1 | 1 | 1 | Core staff | 3.0 | 1 | 1 | SATURDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | School | 0.443284 | 0.731164 | 0.321735 | 0.0 | 0.0 | 0.0 | 0.0 | -1837.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 244620 | 383122 | 0 | Revolving loans | M | N | Y | 0 | 157500.0 | 337500.0 | 16875.0 | NaN | NaN | Working | Higher education | Single / not married | Municipal apartment | 0.031329 | -12198 | -4453 | -7440.0 | -4516 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Accountants | 1.0 | 2 | 2 | FRIDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.161420 | 0.658556 | 0.051329 | 0.0 | 0.0 | 0.0 | 0.0 | -420.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 244962 | 383538 | 0 | Revolving loans | M | N | Y | 0 | 90000.0 | 225000.0 | 11250.0 | NaN | NaN | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.022625 | -21181 | -2732 | -831.0 | -4084 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 2.0 | 2 | 2 | SUNDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 1 | NaN | 0.667899 | 0.520898 | 5.0 | 0.0 | 5.0 | 0.0 | -2361.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 245542 | 384157 | 0 | Revolving loans | F | N | Y | 0 | 54000.0 | 180000.0 | 9000.0 | NaN | NaN | Pensioner | Higher education | Married | House / apartment | 0.000533 | -22259 | 365243 | -3862.0 | -1405 | NaN | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 3 | TUESDAY | 12 | 1 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.583607 | 0.651260 | 2.0 | 0.0 | 2.0 | 0.0 | -952.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 246989 | 385808 | 0 | Revolving loans | F | N | Y | 0 | 67500.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.025164 | -8044 | -846 | -545.0 | -720 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Laborers | 1.0 | 2 | 2 | THURSDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.313418 | 0.165183 | 0.581484 | 2.0 | 1.0 | 2.0 | 1.0 | -927.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 |
| 247473 | 386374 | 0 | Revolving loans | F | N | N | 0 | 112500.0 | 270000.0 | 13500.0 | NaN | NaN | Working | Higher education | Married | With parents | 0.009175 | -8040 | -1162 | -2638.0 | -511 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 11 | 0 | 1 | 1 | 0 | 1 | 1 | Other | NaN | 0.649412 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 248749 | 387780 | 0 | Revolving loans | F | N | Y | 1 | 103500.0 | 270000.0 | 13500.0 | NaN | NaN | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.020246 | -12675 | -3486 | -795.0 | -4100 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 3.0 | 3 | 3 | TUESDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Construction | NaN | 0.282548 | 0.701696 | 0.0 | 0.0 | 0.0 | 0.0 | -109.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 249109 | 388225 | 0 | Revolving loans | M | N | N | 0 | 112500.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.010147 | -9584 | -1477 | -9393.0 | -2247 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | WEDNESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.178828 | 0.722314 | 0.771362 | 2.0 | 0.0 | 2.0 | 0.0 | -1742.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 |
| 249616 | 388813 | 1 | Revolving loans | F | N | N | 0 | 90000.0 | 157500.0 | 7875.0 | NaN | NaN | Pensioner | Secondary / secondary special | Civil marriage | House / apartment | 0.010032 | -21440 | 365243 | -8945.0 | -4756 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | MONDAY | 6 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.672794 | NaN | 4.0 | 0.0 | 4.0 | 0.0 | -1824.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 253126 | 392897 | 1 | Revolving loans | M | N | Y | 1 | 157500.0 | 337500.0 | 16875.0 | NaN | NaN | Commercial associate | Higher education | Married | House / apartment | 0.010147 | -11233 | -3189 | -299.0 | -3883 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Managers | 3.0 | 2 | 2 | SUNDAY | 13 | 0 | 0 | 0 | 0 | 1 | 1 | Trade: type 2 | NaN | 0.349855 | 0.092013 | 12.0 | 0.0 | 10.0 | 0.0 | -1608.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 254451 | 394441 | 0 | Revolving loans | F | N | Y | 0 | 90000.0 | 270000.0 | 13500.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.020246 | -18950 | -5789 | -10066.0 | -2499 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Private service staff | 2.0 | 3 | 3 | THURSDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Services | 0.679038 | 0.342535 | 0.595456 | 2.0 | 0.0 | 2.0 | 0.0 | -1464.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 255049 | 395122 | 0 | Revolving loans | M | N | N | 3 | 135000.0 | 225000.0 | 11250.0 | NaN | NaN | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.031329 | -13455 | -546 | -330.0 | -2803 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Laborers | 5.0 | 2 | 2 | SUNDAY | 13 | 0 | 0 | 0 | 1 | 1 | 1 | Transport: type 4 | 0.420457 | 0.577937 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -982.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 256395 | 396696 | 0 | Revolving loans | M | N | Y | 2 | 96750.0 | 270000.0 | 13500.0 | NaN | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.024610 | -13634 | -3505 | -4146.0 | -4153 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 4.0 | 2 | 2 | THURSDAY | 13 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | NaN | 0.636122 | 0.135951 | 0.0 | 0.0 | 0.0 | 0.0 | -749.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 |
| 256843 | 397231 | 0 | Revolving loans | F | N | N | 0 | 81000.0 | 270000.0 | 13500.0 | NaN | NaN | Working | Secondary / secondary special | Single / not married | With parents | 0.005313 | -10364 | -539 | -9820.0 | -2835 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | THURSDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.490660 | 0.617826 | 0.0 | 0.0 | 0.0 | 0.0 | -1869.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 257017 | 397421 | 0 | Revolving loans | F | N | Y | 3 | 67500.0 | 202500.0 | 10125.0 | NaN | NaN | Working | Secondary / secondary special | Married | Municipal apartment | 0.005002 | -13245 | -3080 | -7.0 | -4333 | NaN | 1 | 1 | 1 | 1 | 1 | 1 | Sales staff | 5.0 | 3 | 3 | MONDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | NaN | 0.431240 | 0.504681 | 0.0 | 0.0 | 0.0 | 0.0 | -362.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 257118 | 397542 | 0 | Revolving loans | M | N | Y | 3 | 112500.0 | 337500.0 | 16875.0 | NaN | NaN | State servant | Higher education | Married | House / apartment | 0.019101 | -16359 | -3137 | -5397.0 | -5426 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 5.0 | 2 | 2 | WEDNESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Security Ministries | 0.611808 | 0.485710 | 0.652897 | 6.0 | 1.0 | 6.0 | 0.0 | -2118.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 257405 | 397874 | 0 | Revolving loans | M | N | Y | 0 | 112500.0 | 225000.0 | 11250.0 | NaN | NaN | Working | Secondary / secondary special | Married | With parents | 0.007120 | -11404 | -3539 | -9806.0 | -4032 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 2.0 | 2 | 2 | WEDNESDAY | 12 | 0 | 0 | 0 | 1 | 1 | 0 | Business Entity Type 2 | NaN | 0.751028 | 0.540654 | 1.0 | 0.0 | 1.0 | 0.0 | -1707.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 259788 | 400636 | 0 | Revolving loans | M | N | N | 1 | 112500.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Separated | House / apartment | 0.010147 | -14023 | -823 | -913.0 | -4385 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | SATURDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | NaN | 0.604298 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 260704 | 401702 | 1 | Revolving loans | F | N | Y | 0 | 67500.0 | 135000.0 | 6750.0 | NaN | NaN | Working | Incomplete higher | Married | House / apartment | 0.025164 | -8500 | -1367 | -711.0 | -1177 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 2.0 | 2 | 2 | FRIDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Kindergarten | NaN | 0.372580 | 0.317032 | 0.0 | 0.0 | 0.0 | 0.0 | -1308.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 262052 | 403332 | 0 | Revolving loans | M | N | Y | 0 | 81000.0 | 225000.0 | 11250.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.028663 | -16424 | -3206 | -7575.0 | -4421 | NaN | 1 | 1 | 1 | 1 | 1 | 1 | Medicine staff | 2.0 | 2 | 2 | WEDNESDAY | 8 | 0 | 0 | 0 | 0 | 1 | 1 | Medicine | 0.229149 | 0.604920 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -428.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 262572 | 404012 | 0 | Revolving loans | M | N | Y | 0 | 135000.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Single / not married | With parents | 0.026392 | -9525 | -1277 | -4330.0 | -2211 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 1.0 | 2 | 2 | FRIDAY | 17 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | NaN | 0.398412 | 0.324891 | 0.0 | 0.0 | 0.0 | 0.0 | -1773.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 262657 | 404102 | 0 | Revolving loans | F | N | Y | 0 | 202500.0 | 585000.0 | 29250.0 | NaN | NaN | State servant | Higher education | Married | House / apartment | 0.022625 | -14688 | -1046 | -2874.0 | -4268 | NaN | 1 | 1 | 1 | 1 | 1 | 1 | Accountants | 2.0 | 2 | 2 | TUESDAY | 18 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.638570 | 0.321549 | 0.739412 | 0.0 | 0.0 | 0.0 | 0.0 | -365.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 262853 | 404359 | 0 | Revolving loans | F | N | Y | 0 | 112500.0 | 202500.0 | 10125.0 | NaN | NaN | Working | Higher education | Separated | House / apartment | 0.046220 | -19556 | -2027 | -3611.0 | -2668 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Cleaning staff | 1.0 | 1 | 1 | THURSDAY | 10 | 0 | 1 | 1 | 0 | 1 | 1 | Business Entity Type 3 | NaN | 0.708239 | 0.547810 | 1.0 | 1.0 | 1.0 | 0.0 | -1512.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 263035 | 404580 | 0 | Revolving loans | M | N | Y | 0 | 382500.0 | 1350000.0 | 67500.0 | NaN | NaN | Working | Higher education | Married | House / apartment | 0.007330 | -17474 | -2012 | -1009.0 | -1029 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Managers | 2.0 | 2 | 2 | WEDNESDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.601449 | 0.726001 | 0.673830 | 0.0 | 0.0 | 0.0 | 0.0 | -145.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 263213 | 404774 | 0 | Revolving loans | M | N | N | 1 | 180000.0 | 315000.0 | 15750.0 | NaN | NaN | Working | Higher education | Married | Rented apartment | 0.035792 | -12279 | -2565 | -6341.0 | -4268 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Drivers | 3.0 | 2 | 2 | TUESDAY | 9 | 0 | 0 | 0 | 1 | 1 | 0 | Transport: type 3 | NaN | 0.299441 | 0.372334 | 1.0 | 0.0 | 1.0 | 0.0 | -317.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 3.0 |
| 267302 | 409698 | 0 | Revolving loans | F | N | Y | 0 | 67500.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Widow | House / apartment | 0.008474 | -18120 | -915 | -8162.0 | -919 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 1.0 | 2 | 2 | FRIDAY | 13 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | NaN | 0.669807 | 0.651260 | 1.0 | 0.0 | 1.0 | 0.0 | -628.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 |
| 267335 | 409733 | 0 | Revolving loans | F | N | N | 0 | 135000.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Single / not married | With parents | 0.028663 | -8869 | -1601 | -1379.0 | -1533 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Waiters/barmen staff | 1.0 | 2 | 2 | THURSDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Restaurant | NaN | 0.565440 | NaN | 9.0 | 0.0 | 9.0 | 0.0 | 0.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 267367 | 409768 | 0 | Revolving loans | F | N | Y | 0 | 112500.0 | 135000.0 | 6750.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.007114 | -15667 | -2028 | -5495.0 | -5498 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Core staff | 2.0 | 2 | 2 | FRIDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Government | NaN | 0.527173 | 0.706205 | 2.0 | 2.0 | 2.0 | 2.0 | -715.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 269291 | 412079 | 0 | Revolving loans | M | N | Y | 1 | 67500.0 | 135000.0 | 6750.0 | NaN | NaN | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.009657 | -15055 | -3476 | -8984.0 | -4158 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 3.0 | 2 | 2 | FRIDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.475808 | 0.382502 | 1.0 | 0.0 | 1.0 | 0.0 | -442.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 270616 | 413674 | 1 | Revolving loans | F | N | Y | 0 | 99000.0 | 337500.0 | 16875.0 | NaN | NaN | Pensioner | Secondary / secondary special | Married | House / apartment | 0.030755 | -21827 | 365243 | -3582.0 | -4737 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.647882 | 0.528093 | 0.0 | 0.0 | 0.0 | 0.0 | -1915.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 271074 | 414243 | 0 | Revolving loans | F | N | Y | 0 | 157500.0 | 810000.0 | 40500.0 | NaN | NaN | Working | Secondary / secondary special | Single / not married | Municipal apartment | 0.024610 | -14617 | -588 | -8712.0 | -4499 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Sales staff | 1.0 | 2 | 2 | TUESDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Transport: type 4 | 0.669794 | 0.469714 | 0.535276 | 4.0 | 0.0 | 4.0 | 0.0 | -995.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 271339 | 414555 | 0 | Revolving loans | F | N | Y | 0 | 112500.0 | 270000.0 | 13500.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.018850 | -13052 | -1837 | -3207.0 | -4613 | NaN | 1 | 1 | 1 | 1 | 1 | 1 | High skill tech staff | 2.0 | 2 | 2 | TUESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Housing | NaN | 0.619842 | 0.631355 | 0.0 | 0.0 | 0.0 | 0.0 | -629.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 271611 | 414876 | 0 | Revolving loans | M | N | Y | 0 | 135000.0 | 157500.0 | 7875.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.010966 | -14876 | -1577 | -1665.0 | -3422 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Drivers | 2.0 | 2 | 2 | THURSDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.521599 | 0.511892 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 271754 | 415039 | 0 | Revolving loans | M | N | Y | 1 | 121500.0 | 225000.0 | 11250.0 | NaN | NaN | Working | Secondary / secondary special | Married | With parents | 0.008474 | -9939 | -886 | -4801.0 | -2283 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Core staff | 3.0 | 2 | 2 | THURSDAY | 15 | 0 | 0 | 0 | 1 | 1 | 0 | Business Entity Type 1 | NaN | 0.590451 | 0.270707 | 0.0 | 0.0 | 0.0 | 0.0 | -660.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 272242 | 415625 | 0 | Revolving loans | M | N | N | 0 | 126000.0 | 270000.0 | 13500.0 | NaN | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.007120 | -13322 | -1632 | -776.0 | -4690 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Drivers | 1.0 | 2 | 2 | WEDNESDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Industry: type 3 | NaN | 0.606164 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -897.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 272252 | 415635 | 0 | Revolving loans | F | N | Y | 0 | 90000.0 | 270000.0 | 13500.0 | NaN | NaN | Working | Secondary / secondary special | Separated | House / apartment | 0.010147 | -14704 | -831 | -1999.0 | -5130 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 1.0 | 2 | 2 | MONDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Trade: type 7 | NaN | 0.030760 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -669.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 2.0 |
| 273229 | 416712 | 0 | Revolving loans | F | N | Y | 1 | 112500.0 | 180000.0 | 9000.0 | NaN | NaN | State servant | Secondary / secondary special | Married | House / apartment | 0.002042 | -15098 | -6407 | -1033.0 | -6085 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Medicine staff | 3.0 | 3 | 3 | SATURDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Medicine | NaN | 0.506895 | 0.672243 | 0.0 | 0.0 | 0.0 | 0.0 | -815.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 273757 | 417309 | 0 | Revolving loans | F | N | Y | 0 | 65250.0 | 202500.0 | 10125.0 | NaN | NaN | Pensioner | Secondary / secondary special | Married | Municipal apartment | 0.010006 | -21538 | 365243 | -3303.0 | -2366 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.831460 | NaN | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1910.0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 275284 | 419023 | 0 | Revolving loans | M | N | Y | 0 | 90000.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.007330 | -18394 | -11426 | -10186.0 | -1933 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 1.0 | 2 | 2 | FRIDAY | 18 | 0 | 0 | 0 | 0 | 0 | 0 | Culture | 0.680058 | 0.721388 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -399.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 |
| 275429 | 419205 | 0 | Revolving loans | F | N | Y | 1 | 112500.0 | 202500.0 | 10125.0 | NaN | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.010147 | -8120 | -731 | -7506.0 | -341 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Sales staff | 2.0 | 2 | 2 | TUESDAY | 16 | 0 | 0 | 0 | 0 | 1 | 1 | Self-employed | 0.221135 | 0.109114 | 0.210350 | 0.0 | 0.0 | 0.0 | 0.0 | -311.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 276692 | 420659 | 0 | Revolving loans | M | N | Y | 0 | 112500.0 | 247500.0 | 12375.0 | NaN | NaN | Pensioner | Higher education | Married | House / apartment | 0.018209 | -22496 | 365243 | -4018.0 | -4087 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 3 | 3 | TUESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.424637 | 0.527037 | 0.529890 | 0.0 | 0.0 | 0.0 | 0.0 | -204.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 277969 | 422096 | 0 | Revolving loans | F | N | Y | 1 | 90000.0 | 202500.0 | 10125.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.007020 | -7950 | -1068 | -116.0 | -577 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 3.0 | 2 | 2 | SATURDAY | 14 | 0 | 0 | 0 | 1 | 1 | 1 | Other | 0.134095 | 0.223138 | NaN | 8.0 | 0.0 | 8.0 | 0.0 | 0.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 278747 | 422928 | 0 | Revolving loans | M | N | Y | 1 | 117000.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.009175 | -12462 | -1203 | -3084.0 | -1610 | NaN | 1 | 1 | 0 | 1 | 1 | 1 | Laborers | 3.0 | 2 | 2 | SATURDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.214509 | 0.630480 | 0.560284 | 0.0 | 0.0 | 0.0 | 0.0 | -1448.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 7.0 |
| 279583 | 423902 | 0 | Revolving loans | F | N | Y | 1 | 45000.0 | 135000.0 | 6750.0 | NaN | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.010966 | -9903 | -185 | -2559.0 | -1187 | NaN | 1 | 1 | 1 | 1 | 1 | 1 | Managers | 2.0 | 2 | 2 | TUESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Postal | 0.249219 | 0.609775 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1628.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 279997 | 424410 | 0 | Revolving loans | F | N | Y | 1 | 112500.0 | 270000.0 | 13500.0 | NaN | NaN | Working | Secondary / secondary special | Separated | House / apartment | 0.020246 | -13598 | -384 | -247.0 | -797 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Sales staff | 2.0 | 3 | 3 | THURSDAY | 7 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.545629 | 0.424399 | 0.377404 | 0.0 | 0.0 | 0.0 | 0.0 | -442.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 281050 | 425623 | 0 | Revolving loans | M | N | Y | 0 | 225000.0 | 540000.0 | 27000.0 | NaN | NaN | Working | Higher education | Married | House / apartment | 0.018634 | -19645 | -621 | -8405.0 | -845 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Managers | 2.0 | 2 | 2 | MONDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Construction | NaN | 0.372064 | 0.676993 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 |
| 281653 | 426277 | 0 | Revolving loans | F | N | Y | 0 | 45000.0 | 135000.0 | 6750.0 | NaN | NaN | State servant | Secondary / secondary special | Married | House / apartment | 0.025164 | -18860 | -7885 | -9087.0 | -2408 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Cooking staff | 2.0 | 2 | 2 | THURSDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Kindergarten | NaN | 0.299881 | 0.680139 | 1.0 | 1.0 | 1.0 | 0.0 | -187.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 282002 | 426638 | 0 | Revolving loans | M | N | Y | 1 | 121500.0 | 202500.0 | 10125.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.016612 | -15706 | -2426 | -2654.0 | -4261 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Security staff | 3.0 | 2 | 2 | SATURDAY | 12 | 0 | 1 | 1 | 0 | 1 | 1 | Security | NaN | 0.637720 | 0.556727 | 2.0 | 0.0 | 2.0 | 0.0 | -1794.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 282270 | 426914 | 0 | Revolving loans | F | N | Y | 0 | 126000.0 | 382500.0 | 19125.0 | NaN | NaN | Commercial associate | Higher education | Married | Municipal apartment | 0.010006 | -10156 | -1470 | -3418.0 | -1773 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 2.0 | 2 | 2 | SUNDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.347868 | 0.488638 | 0.504681 | 5.0 | 0.0 | 5.0 | 0.0 | -743.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 282847 | 427592 | 0 | Revolving loans | F | N | N | 0 | 112500.0 | 337500.0 | 16875.0 | NaN | NaN | State servant | Higher education | Married | House / apartment | 0.001276 | -10978 | -1791 | -2216.0 | -652 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 2.0 | 2 | 2 | WEDNESDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.585709 | 0.322456 | 0.641368 | 6.0 | 0.0 | 6.0 | 0.0 | -1147.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 283159 | 427953 | 0 | Revolving loans | F | N | Y | 0 | 90000.0 | 202500.0 | 10125.0 | NaN | NaN | Commercial associate | Secondary / secondary special | Single / not married | With parents | 0.024610 | -7835 | -602 | -2571.0 | -500 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Cooking staff | 1.0 | 2 | 2 | FRIDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.370166 | NaN | 4.0 | 2.0 | 4.0 | 2.0 | -98.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 285269 | 430381 | 0 | Revolving loans | M | N | Y | 1 | 180000.0 | 270000.0 | 13500.0 | NaN | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.010500 | -13706 | -991 | -9824.0 | -3904 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Managers | 3.0 | 3 | 3 | SUNDAY | 15 | 1 | 1 | 0 | 1 | 1 | 0 | Construction | 0.749647 | 0.673492 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -526.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 287092 | 432536 | 0 | Revolving loans | M | N | Y | 0 | 90000.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.022625 | -21339 | -13031 | -6244.0 | -4646 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 2.0 | 2 | 2 | TUESDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.481554 | NaN | 2.0 | 0.0 | 2.0 | 0.0 | -1475.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 287347 | 432847 | 0 | Revolving loans | F | N | N | 1 | 90000.0 | 270000.0 | 13500.0 | NaN | NaN | Working | Secondary / secondary special | Married | Rented apartment | 0.009175 | -11099 | -2761 | -4537.0 | -2377 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Sales staff | 3.0 | 2 | 2 | SUNDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.273940 | 0.725304 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -216.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 289793 | 435732 | 0 | Revolving loans | F | N | Y | 2 | 150750.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.030755 | -13541 | -888 | -2876.0 | -4256 | NaN | 1 | 1 | 1 | 1 | 1 | 1 | NaN | 4.0 | 2 | 2 | MONDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.580840 | 0.475399 | 0.312365 | 1.0 | 0.0 | 1.0 | 0.0 | -1362.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 291372 | 437555 | 0 | Revolving loans | F | N | N | 2 | 99000.0 | 135000.0 | 6750.0 | NaN | NaN | Working | Incomplete higher | Married | With parents | 0.008474 | -14082 | -313 | -6914.0 | -3354 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 4.0 | 2 | 2 | WEDNESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.686397 | 0.643026 | 0.0 | 0.0 | 0.0 | 0.0 | -2109.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 291384 | 437568 | 0 | Revolving loans | M | N | N | 0 | 315000.0 | 675000.0 | 33750.0 | NaN | NaN | Working | Secondary / secondary special | Married | Municipal apartment | 0.020713 | -12970 | -5181 | -562.0 | -4210 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 2.0 | 3 | 3 | FRIDAY | 6 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.034158 | 0.551381 | 0.0 | 0.0 | 0.0 | 0.0 | -1184.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 292040 | 438322 | 0 | Revolving loans | F | N | N | 0 | 90000.0 | 270000.0 | 13500.0 | NaN | NaN | Commercial associate | Higher education | Single / not married | House / apartment | 0.026392 | -9108 | -577 | -3872.0 | -1773 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | FRIDAY | 18 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.465968 | 0.692772 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -314.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 292120 | 438413 | 0 | Revolving loans | F | N | Y | 2 | 76500.0 | 202500.0 | 10125.0 | NaN | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.005002 | -14192 | -1233 | -6516.0 | -3316 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 3.0 | 3 | 3 | TUESDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.772014 | 0.772631 | 0.0 | 0.0 | 0.0 | 0.0 | -3380.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 294136 | 440763 | 0 | Revolving loans | F | N | N | 2 | 135000.0 | 180000.0 | 9000.0 | NaN | NaN | State servant | Incomplete higher | Married | Rented apartment | 0.008625 | -11124 | -805 | -655.0 | -2234 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | High skill tech staff | 4.0 | 2 | 2 | FRIDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Military | NaN | 0.570468 | 0.252599 | 0.0 | 0.0 | 0.0 | 0.0 | -491.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 295295 | 442115 | 0 | Revolving loans | F | N | N | 1 | 90000.0 | 225000.0 | 11250.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.009175 | -10909 | -2201 | -4552.0 | -3571 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Private service staff | 3.0 | 2 | 2 | SATURDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | NaN | 0.673338 | 0.602386 | 6.0 | 0.0 | 6.0 | 0.0 | -598.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 |
| 298004 | 445250 | 0 | Revolving loans | M | N | Y | 2 | 90000.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.024610 | -11771 | -2479 | -3872.0 | -3913 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 4.0 | 2 | 2 | WEDNESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | 0.151076 | 0.591392 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -161.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 300107 | 447675 | 0 | Revolving loans | F | N | Y | 1 | 405000.0 | 810000.0 | 40500.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.010006 | -16267 | -4206 | -5283.0 | -3632 | NaN | 1 | 1 | 1 | 1 | 1 | 1 | Drivers | 3.0 | 2 | 2 | WEDNESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | NaN | 0.690557 | 0.120641 | 0.0 | 0.0 | 0.0 | 0.0 | -532.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 302923 | 450959 | 0 | Revolving loans | F | N | Y | 0 | 126000.0 | 337500.0 | 16875.0 | NaN | NaN | Working | Secondary / secondary special | Widow | House / apartment | 0.020713 | -23162 | -15871 | -2388.0 | -4284 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 1.0 | 3 | 3 | WEDNESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | NaN | 0.635742 | 0.089631 | 0.0 | 0.0 | 0.0 | 0.0 | -1614.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 303603 | 451760 | 0 | Revolving loans | F | N | Y | 0 | 135000.0 | 135000.0 | 6750.0 | NaN | NaN | Commercial associate | Secondary / secondary special | Civil marriage | Municipal apartment | 0.009175 | -11236 | -2034 | -594.0 | -2157 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | High skill tech staff | 2.0 | 2 | 2 | SUNDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | University | NaN | 0.703107 | 0.347418 | 0.0 | 0.0 | 0.0 | 0.0 | -757.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 303621 | 451781 | 0 | Revolving loans | F | N | Y | 0 | 112500.0 | 180000.0 | 9000.0 | NaN | NaN | Working | Incomplete higher | Civil marriage | House / apartment | 0.007330 | -7836 | -434 | -5474.0 | -492 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Core staff | 2.0 | 2 | 2 | THURSDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.202586 | 0.475922 | NaN | 2.0 | 0.0 | 2.0 | 0.0 | -618.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 304621 | 452926 | 0 | Revolving loans | F | N | Y | 0 | 90000.0 | 247500.0 | 12375.0 | NaN | NaN | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.006008 | -20728 | 365243 | -10861.0 | -4110 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | FRIDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.624966 | 0.511892 | 0.0 | 0.0 | 0.0 | 0.0 | -562.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 3.0 |
| 304678 | 452992 | 0 | Revolving loans | F | N | Y | 2 | 67500.0 | 202500.0 | 10125.0 | NaN | NaN | Working | Higher education | Married | House / apartment | 0.025164 | -11313 | -1470 | -1188.0 | -3523 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Sales staff | 4.0 | 2 | 2 | WEDNESDAY | 11 | 0 | 0 | 0 | 1 | 0 | 1 | Business Entity Type 3 | NaN | 0.449139 | 0.574447 | 3.0 | 1.0 | 3.0 | 0.0 | -777.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 304784 | 453120 | 0 | Revolving loans | M | N | Y | 1 | 112500.0 | 270000.0 | 13500.0 | NaN | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.028663 | -16870 | -825 | -1303.0 | -427 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Drivers | 3.0 | 2 | 2 | THURSDAY | 10 | 0 | 0 | 0 | 1 | 1 | 1 | Self-employed | NaN | 0.441976 | 0.459690 | 3.0 | 1.0 | 3.0 | 1.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 305833 | 454341 | 0 | Revolving loans | F | N | Y | 0 | 126000.0 | 270000.0 | 13500.0 | NaN | NaN | Working | Incomplete higher | Single / not married | With parents | 0.015221 | -10440 | -3444 | -4452.0 | -3096 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Core staff | 1.0 | 2 | 2 | THURSDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.164542 | 0.480353 | 0.698668 | 2.0 | 0.0 | 2.0 | 0.0 | -163.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 306126 | 454683 | 0 | Revolving loans | M | N | Y | 0 | 135000.0 | 270000.0 | 13500.0 | NaN | NaN | Commercial associate | Secondary / secondary special | Married | Municipal apartment | 0.046220 | -15406 | -427 | -8924.0 | -4101 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 2.0 | 1 | 1 | THURSDAY | 16 | 0 | 1 | 1 | 0 | 1 | 1 | Security | 0.715165 | 0.675154 | 0.321735 | 0.0 | 0.0 | 0.0 | 0.0 | -188.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 306273 | 454852 | 0 | Revolving loans | M | N | Y | 2 | 67500.0 | 202500.0 | 10125.0 | NaN | NaN | Working | Higher education | Married | House / apartment | 0.020713 | -14079 | -1648 | -2492.0 | -4905 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 4.0 | 3 | 3 | THURSDAY | 6 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.411601 | 0.608328 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1154.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
app["AMT_GOODS_PRICE"].fillna(value = 0, inplace = True)
app.AMT_GOODS_PRICE.isnull().sum()
0
## Checking next column 'NAME_TYPE_SUITE'
app.NAME_TYPE_SUITE.isna().value_counts()
False 306219 True 1292 Name: NAME_TYPE_SUITE, dtype: int64
ap1 = app[app["NAME_TYPE_SUITE"].isnull()]
ap1
| SK_ID_CURR | TARGET | NAME_CONTRACT_TYPE | CODE_GENDER | FLAG_OWN_CAR | FLAG_OWN_REALTY | CNT_CHILDREN | AMT_INCOME_TOTAL | AMT_CREDIT | AMT_ANNUITY | AMT_GOODS_PRICE | NAME_TYPE_SUITE | NAME_INCOME_TYPE | NAME_EDUCATION_TYPE | NAME_FAMILY_STATUS | NAME_HOUSING_TYPE | REGION_POPULATION_RELATIVE | DAYS_BIRTH | DAYS_EMPLOYED | DAYS_REGISTRATION | DAYS_ID_PUBLISH | OWN_CAR_AGE | FLAG_MOBIL | FLAG_EMP_PHONE | FLAG_WORK_PHONE | FLAG_CONT_MOBILE | FLAG_PHONE | FLAG_EMAIL | OCCUPATION_TYPE | CNT_FAM_MEMBERS | REGION_RATING_CLIENT | REGION_RATING_CLIENT_W_CITY | WEEKDAY_APPR_PROCESS_START | HOUR_APPR_PROCESS_START | REG_REGION_NOT_LIVE_REGION | REG_REGION_NOT_WORK_REGION | LIVE_REGION_NOT_WORK_REGION | REG_CITY_NOT_LIVE_CITY | REG_CITY_NOT_WORK_CITY | LIVE_CITY_NOT_WORK_CITY | ORGANIZATION_TYPE | EXT_SOURCE_1 | EXT_SOURCE_2 | EXT_SOURCE_3 | OBS_30_CNT_SOCIAL_CIRCLE | DEF_30_CNT_SOCIAL_CIRCLE | OBS_60_CNT_SOCIAL_CIRCLE | DEF_60_CNT_SOCIAL_CIRCLE | DAYS_LAST_PHONE_CHANGE | FLAG_DOCUMENT_2 | FLAG_DOCUMENT_3 | FLAG_DOCUMENT_4 | FLAG_DOCUMENT_5 | FLAG_DOCUMENT_6 | FLAG_DOCUMENT_7 | FLAG_DOCUMENT_8 | FLAG_DOCUMENT_9 | FLAG_DOCUMENT_10 | FLAG_DOCUMENT_11 | FLAG_DOCUMENT_12 | FLAG_DOCUMENT_13 | FLAG_DOCUMENT_14 | FLAG_DOCUMENT_15 | FLAG_DOCUMENT_16 | FLAG_DOCUMENT_17 | FLAG_DOCUMENT_18 | FLAG_DOCUMENT_19 | FLAG_DOCUMENT_20 | FLAG_DOCUMENT_21 | AMT_REQ_CREDIT_BUREAU_HOUR | AMT_REQ_CREDIT_BUREAU_DAY | AMT_REQ_CREDIT_BUREAU_WEEK | AMT_REQ_CREDIT_BUREAU_MON | AMT_REQ_CREDIT_BUREAU_QRT | AMT_REQ_CREDIT_BUREAU_YEAR | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 64 | 100076 | 0 | Cash loans | M | Y | N | 0 | 180000.0 | 315000.0 | 9679.5 | 315000.0 | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.028663 | -13866 | -2546 | -5448.000000 | -4097 | 1.0 | 1 | 1 | 0 | 1 | 0 | 0 | Drivers | 2.0 | 2 | 2 | MONDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Transport: type 3 | NaN | 0.584887 | 0.095070 | 0.0 | 0.0 | 0.0 | 0.0 | -3.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 724 | 100837 | 0 | Revolving loans | F | N | Y | 2 | 45000.0 | 135000.0 | 6750.0 | 0.0 | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.024610 | -10072 | -381 | -519.000000 | -1834 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Core staff | 4.0 | 2 | 2 | WEDNESDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Kindergarten | 0.358509 | 0.378174 | NaN | 2.0 | 1.0 | 2.0 | 1.0 | -2011.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 1199 | 101414 | 0 | Cash loans | M | Y | N | 0 | 135000.0 | 533668.5 | 34636.5 | 477000.0 | NaN | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.046220 | -21717 | -2393 | -5486.000000 | -4513 | 5.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 1 | 1 | SUNDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Transport: type 3 | NaN | 0.756676 | 0.544235 | 3.0 | 0.0 | 3.0 | 0.0 | -3.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 4.0 | 0.0 | 0.0 |
| 1669 | 101954 | 0 | Cash loans | F | Y | N | 2 | 153000.0 | 1162170.0 | 30654.0 | 832500.0 | NaN | State servant | Higher education | Separated | House / apartment | 0.024610 | -12975 | -1839 | -3896.000000 | -2179 | 1.0 | 1 | 1 | 0 | 1 | 1 | 0 | Core staff | 3.0 | 2 | 2 | THURSDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Government | 0.581419 | 0.685813 | 0.528093 | 0.0 | 0.0 | 0.0 | 0.0 | -2.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 1862 | 102183 | 0 | Cash loans | F | Y | N | 0 | 121500.0 | 268659.0 | 13774.5 | 243000.0 | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.010147 | -12870 | -2822 | -777.000000 | -4371 | 3.0 | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 11 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | 0.320031 | 0.492076 | 0.178760 | 2.0 | 0.0 | 2.0 | 0.0 | -326.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 |
| 2271 | 102661 | 0 | Cash loans | F | N | N | 0 | 225000.0 | 1890000.0 | 49986.0 | 1890000.0 | NaN | Commercial associate | Higher education | Single / not married | House / apartment | 0.006008 | -13279 | -4219 | -7092.000000 | -4170 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Accountants | 1.0 | 2 | 2 | THURSDAY | 18 | 0 | 0 | 0 | 0 | 1 | 1 | Other | 0.770080 | 0.724358 | 0.513694 | 8.0 | 0.0 | 7.0 | 0.0 | -5.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 2625 | 103065 | 0 | Cash loans | F | N | Y | 1 | 112500.0 | 593010.0 | 16434.0 | 495000.0 | NaN | Working | Secondary / secondary special | Married | With parents | 0.018850 | -8967 | -1801 | -4433.000000 | -577 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 3.0 | 2 | 2 | SATURDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Trade: type 3 | 0.264453 | 0.757400 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1695.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 2650 | 103093 | 0 | Cash loans | M | Y | N | 0 | 360000.0 | 728460.0 | 37134.0 | 675000.0 | NaN | State servant | Higher education | Married | Municipal apartment | 0.018801 | -14724 | -3045 | -8860.000000 | -2051 | 8.0 | 1 | 1 | 0 | 1 | 1 | 0 | Core staff | 2.0 | 2 | 2 | SUNDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | School | NaN | 0.489758 | 0.217629 | 3.0 | 0.0 | 3.0 | 0.0 | -1569.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 3012 | 103519 | 0 | Cash loans | F | Y | N | 0 | 135000.0 | 675000.0 | 17806.5 | 675000.0 | NaN | Working | Higher education | Married | House / apartment | 0.018634 | -11086 | -2798 | -1319.000000 | -2221 | 6.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.383369 | 0.557256 | 0.558507 | 1.0 | 0.0 | 1.0 | 0.0 | -3.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 |
| 3050 | 103560 | 0 | Cash loans | F | N | N | 2 | 225000.0 | 1506816.0 | 45814.5 | 1350000.0 | NaN | Commercial associate | Higher education | Married | With parents | 0.006852 | -11831 | -2052 | -1856.000000 | -1883 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Secretaries | 4.0 | 3 | 3 | MONDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Security Ministries | NaN | 0.561702 | 0.486653 | 0.0 | 0.0 | 0.0 | 0.0 | -3.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 3371 | 103938 | 0 | Cash loans | F | N | N | 1 | 1350000.0 | 2410380.0 | 109053.0 | 2250000.0 | NaN | Commercial associate | Higher education | Married | House / apartment | 0.072508 | -12213 | -843 | -757.000000 | -4132 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Managers | 3.0 | 1 | 1 | SUNDAY | 13 | 0 | 1 | 1 | 0 | 0 | 0 | Housing | NaN | 0.724541 | 0.569149 | 0.0 | 0.0 | 0.0 | 0.0 | -2.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | 0.0 |
| 3718 | 104339 | 0 | Cash loans | F | N | N | 0 | 225000.0 | 675000.0 | 20596.5 | 675000.0 | NaN | Pensioner | Secondary / secondary special | Married | House / apartment | 0.022800 | -23895 | 365243 | -11323.000000 | -4071 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.485786 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -2.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 4063 | 104754 | 0 | Cash loans | M | Y | N | 2 | 112500.0 | 373311.0 | 13963.5 | 283500.0 | NaN | Commercial associate | Higher education | Married | House / apartment | 0.016612 | -12918 | -3010 | -7035.000000 | -4683 | 1.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 4.0 | 2 | 2 | WEDNESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Government | 0.163414 | 0.499105 | 0.598926 | 1.0 | 0.0 | 1.0 | 0.0 | -2.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 4193 | 104904 | 0 | Cash loans | F | N | Y | 0 | 157500.0 | 585000.0 | 16218.0 | 585000.0 | NaN | Commercial associate | Higher education | Married | House / apartment | 0.019689 | -10197 | -191 | -874.000000 | -1063 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 2.0 | 2 | 2 | MONDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.193682 | NaN | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 4240 | 104962 | 0 | Cash loans | F | N | N | 0 | 90000.0 | 327024.0 | 10575.0 | 270000.0 | NaN | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.009175 | -23955 | 365243 | -2051.000000 | -4335 | NaN | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | MONDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.747660 | 0.684828 | 1.0 | 0.0 | 1.0 | 0.0 | -207.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 3.0 |
| 4338 | 105076 | 0 | Cash loans | F | Y | N | 0 | 315000.0 | 1762110.0 | 48586.5 | 1575000.0 | NaN | State servant | Higher education | Married | House / apartment | 0.007114 | -16203 | -4981 | -3922.000000 | -4400 | 6.0 | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 2.0 | 2 | 2 | THURSDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.812395 | 0.739016 | 0.701696 | 4.0 | 0.0 | 4.0 | 0.0 | -1.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 4428 | 105177 | 0 | Cash loans | M | Y | Y | 1 | 195750.0 | 225000.0 | 14764.5 | 225000.0 | NaN | Commercial associate | Higher education | Married | House / apartment | 0.072508 | -18015 | -2881 | -4068.000000 | -1543 | 9.0 | 1 | 1 | 1 | 1 | 0 | 0 | Laborers | 3.0 | 1 | 1 | THURSDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.701292 | 0.570917 | 0.0 | 0.0 | 0.0 | 0.0 | -584.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 4669 | 105460 | 0 | Cash loans | F | Y | N | 0 | 135000.0 | 755190.0 | 28116.0 | 675000.0 | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.014464 | -10874 | -239 | -4787.000000 | -1199 | 9.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | MONDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.180042 | 0.505715 | 0.355639 | 1.0 | 0.0 | 1.0 | 0.0 | -2.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 4749 | 105551 | 0 | Cash loans | F | N | Y | 0 | 166500.0 | 239850.0 | 22540.5 | 225000.0 | NaN | Pensioner | Secondary / secondary special | Married | House / apartment | 0.018850 | -25102 | 365243 | -5011.000000 | -5024 | NaN | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.611995 | 0.767523 | 3.0 | 1.0 | 3.0 | 1.0 | -237.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 4876 | 105701 | 0 | Cash loans | M | Y | N | 0 | 225000.0 | 1078200.0 | 29781.0 | 900000.0 | NaN | Working | Higher education | Married | House / apartment | 0.008575 | -20221 | -2292 | -9441.000000 | -3582 | 13.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Bank | NaN | 0.566939 | 0.486653 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 5304 | 106200 | 0 | Cash loans | F | N | Y | 0 | 117000.0 | 781920.0 | 23836.5 | 675000.0 | NaN | Pensioner | Secondary / secondary special | Married | House / apartment | 0.031329 | -20019 | 365243 | -9761.000000 | -3519 | NaN | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | MONDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.348136 | 0.000527 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 5786 | 106766 | 0 | Cash loans | M | Y | N | 0 | 270000.0 | 1350000.0 | 35743.5 | 1350000.0 | NaN | Working | Higher education | Civil marriage | With parents | 0.030755 | -11457 | -1764 | -5239.000000 | -3707 | 6.0 | 1 | 1 | 0 | 1 | 0 | 0 | IT staff | 2.0 | 2 | 2 | WEDNESDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.703121 | 0.203252 | 0.0 | 0.0 | 0.0 | 0.0 | -527.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 5804 | 106785 | 0 | Cash loans | F | N | N | 1 | 157500.0 | 808650.0 | 23305.5 | 675000.0 | NaN | Commercial associate | Higher education | Separated | With parents | 0.046220 | -11565 | -4567 | -6042.000000 | -3749 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Managers | 2.0 | 1 | 1 | SATURDAY | 11 | 0 | 1 | 1 | 0 | 0 | 0 | Business Entity Type 3 | 0.705921 | 0.699543 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 5937 | 106955 | 0 | Revolving loans | F | N | N | 0 | 157500.0 | 450000.0 | 22500.0 | 0.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.010006 | -11993 | -2921 | -1289.000000 | -1948 | NaN | 1 | 1 | 1 | 1 | 1 | 1 | Private service staff | 2.0 | 2 | 2 | SATURDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.505609 | 0.464614 | 0.537070 | 0.0 | 0.0 | 0.0 | 0.0 | -476.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 6425 | 107494 | 0 | Revolving loans | F | N | N | 0 | 67500.0 | 202500.0 | 10125.0 | 0.0 | NaN | Working | Higher education | Married | House / apartment | 0.008474 | -9727 | -2712 | -4132.000000 | -800 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Accountants | 2.0 | 2 | 2 | WEDNESDAY | 18 | 0 | 0 | 0 | 0 | 0 | 0 | Trade: type 7 | 0.706945 | 0.565849 | NaN | 1.0 | 1.0 | 1.0 | 0.0 | -643.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 6526 | 107611 | 0 | Cash loans | F | Y | N | 0 | 112500.0 | 239850.0 | 22554.0 | 225000.0 | NaN | Working | Higher education | Single / not married | House / apartment | 0.011703 | -14918 | -1273 | -14918.000000 | -4732 | 7.0 | 1 | 1 | 0 | 1 | 0 | 0 | Drivers | 1.0 | 2 | 2 | FRIDAY | 13 | 0 | 0 | 0 | 0 | 1 | 1 | Self-employed | 0.391393 | 0.692991 | 0.159520 | 0.0 | 0.0 | 0.0 | 0.0 | -3.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 6694 | 107812 | 0 | Cash loans | F | Y | Y | 0 | 612000.0 | 882000.0 | 26869.5 | 882000.0 | NaN | Commercial associate | Higher education | Single / not married | House / apartment | 0.007330 | -9338 | -147 | -8013.000000 | -1742 | 6.0 | 1 | 1 | 0 | 1 | 0 | 1 | Managers | 1.0 | 2 | 2 | TUESDAY | 14 | 1 | 1 | 0 | 1 | 0 | 0 | Transport: type 4 | 0.568105 | 0.711675 | 0.417100 | 1.0 | 0.0 | 1.0 | 0.0 | -1085.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 6703 | 107822 | 0 | Revolving loans | F | N | N | 1 | 121500.0 | 180000.0 | 9000.0 | 0.0 | NaN | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.011657 | -11079 | -899 | -3765.000000 | -572 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Managers | 3.0 | 1 | 1 | WEDNESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Government | NaN | 0.645519 | 0.863363 | 1.0 | 0.0 | 1.0 | 0.0 | -1292.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 6977 | 108127 | 0 | Cash loans | M | Y | N | 2 | 112500.0 | 500211.0 | 25537.5 | 463500.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.019101 | -12394 | -146 | -1930.000000 | -4233 | 15.0 | 1 | 1 | 1 | 1 | 0 | 0 | Drivers | 4.0 | 2 | 2 | FRIDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Agriculture | 0.221346 | 0.335050 | 0.782608 | 4.0 | 0.0 | 4.0 | 0.0 | -2182.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 7021 | 108174 | 0 | Cash loans | F | Y | N | 1 | 180000.0 | 753840.0 | 20016.0 | 540000.0 | NaN | State servant | Higher education | Married | House / apartment | 0.008866 | -14030 | -2217 | -1109.000000 | -1729 | 8.0 | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 3.0 | 2 | 2 | MONDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Government | NaN | 0.767705 | 0.511892 | 0.0 | 0.0 | 0.0 | 0.0 | -461.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 7122 | 108291 | 0 | Cash loans | F | N | N | 0 | 112500.0 | 269550.0 | 10534.5 | 225000.0 | NaN | Pensioner | Secondary / secondary special | Married | House / apartment | 0.010643 | -22954 | 365243 | -587.000000 | -4230 | NaN | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.564779 | 0.544235 | 0.0 | 0.0 | 0.0 | 0.0 | -323.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 7157 | 108329 | 0 | Cash loans | M | Y | N | 3 | 162000.0 | 1046142.0 | 28899.0 | 913500.0 | NaN | Working | Higher education | Married | House / apartment | 0.031329 | -12059 | -2755 | -1719.000000 | -4336 | 16.0 | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 5.0 | 2 | 2 | FRIDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | NaN | 0.682538 | 0.707699 | 0.0 | 0.0 | 0.0 | 0.0 | -2191.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 7288 | 108489 | 0 | Cash loans | F | N | N | 0 | 157500.0 | 598500.0 | 15916.5 | 598500.0 | NaN | State servant | Secondary / secondary special | Single / not married | With parents | 0.030755 | -9621 | -1769 | -3663.000000 | -2234 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Medicine staff | 1.0 | 2 | 2 | THURSDAY | 13 | 0 | 0 | 0 | 1 | 1 | 0 | Medicine | NaN | 0.762161 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -2.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 |
| 7647 | 108913 | 0 | Revolving loans | M | N | Y | 0 | 180000.0 | 450000.0 | 22500.0 | 0.0 | NaN | Working | Higher education | Single / not married | House / apartment | 0.032561 | -9986 | -1847 | -4762.000000 | -506 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Security staff | 1.0 | 1 | 1 | SATURDAY | 18 | 0 | 0 | 0 | 0 | 0 | 0 | Construction | 0.477288 | 0.552557 | 0.661024 | 1.0 | 0.0 | 1.0 | 0.0 | -159.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 7880 | 109190 | 1 | Revolving loans | F | N | N | 0 | 121500.0 | 270000.0 | 13500.0 | 0.0 | NaN | Working | Higher education | Single / not married | With parents | 0.006296 | -12390 | -640 | -6365.000000 | -3597 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Managers | 1.0 | 3 | 3 | FRIDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.579450 | 0.407925 | 0.240541 | 2.0 | 0.0 | 1.0 | 0.0 | -158.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 7995 | 109322 | 0 | Revolving loans | M | N | Y | 0 | 112500.0 | 180000.0 | 9000.0 | 0.0 | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.008230 | -12420 | -1610 | -6443.000000 | -2463 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Security staff | 1.0 | 2 | 2 | THURSDAY | 16 | 0 | 1 | 1 | 1 | 1 | 1 | Security | NaN | 0.078597 | 0.504681 | 3.0 | 0.0 | 3.0 | 0.0 | -2.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 3.0 |
| 8108 | 109455 | 0 | Cash loans | F | Y | N | 0 | 90000.0 | 755190.0 | 35122.5 | 675000.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.018029 | -21177 | -6325 | -6512.000000 | -4355 | 64.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 3 | FRIDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | School | 0.790947 | 0.059781 | 0.577969 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 8192 | 109552 | 0 | Cash loans | M | Y | N | 0 | 450000.0 | 2220259.5 | 58698.0 | 1984500.0 | NaN | Commercial associate | Higher education | Married | House / apartment | 0.022625 | -12905 | -1597 | -720.000000 | -938 | 12.0 | 1 | 1 | 0 | 1 | 1 | 0 | Managers | 2.0 | 2 | 2 | WEDNESDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.646709 | 0.586740 | 0.0 | 0.0 | 0.0 | 0.0 | -2.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 |
| 8351 | 109730 | 0 | Cash loans | M | Y | N | 0 | 193500.0 | 1762110.0 | 48456.0 | 1575000.0 | NaN | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.025164 | -12298 | -1983 | -4220.000000 | -4612 | 10.0 | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 2.0 | 2 | 2 | MONDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | NaN | 0.302288 | 0.689479 | 5.0 | 0.0 | 5.0 | 0.0 | -2235.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 |
| 9264 | 110775 | 0 | Cash loans | F | N | N | 0 | 112500.0 | 568800.0 | 15003.0 | 450000.0 | NaN | Commercial associate | Secondary / secondary special | Single / not married | House / apartment | 0.009175 | -12841 | -163 | -6841.000000 | -4258 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 1.0 | 2 | 2 | SATURDAY | 10 | 0 | 0 | 0 | 0 | 1 | 1 | Trade: type 7 | 0.441016 | 0.688994 | 0.673830 | 0.0 | 0.0 | 0.0 | 0.0 | -5.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 9769 | 111373 | 0 | Cash loans | F | N | N | 0 | 90000.0 | 688500.0 | 18931.5 | 688500.0 | NaN | Commercial associate | Secondary / secondary special | Single / not married | House / apartment | 0.018209 | -19843 | -556 | -5442.000000 | -3395 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Private service staff | 1.0 | 3 | 3 | FRIDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Services | NaN | 0.423625 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -3.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 10819 | 112595 | 0 | Revolving loans | F | N | Y | 0 | 90000.0 | 270000.0 | 13500.0 | 0.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.022800 | -18193 | -242 | -1462.000000 | -1731 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | SUNDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Transport: type 4 | NaN | 0.644126 | 0.553165 | 0.0 | 0.0 | 0.0 | 0.0 | -1952.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 10965 | 112764 | 0 | Cash loans | F | Y | Y | 0 | 225000.0 | 742500.0 | 69421.5 | 742500.0 | NaN | Commercial associate | Higher education | Single / not married | House / apartment | 0.046220 | -21962 | -5344 | -12847.000000 | -2876 | 1.0 | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 1.0 | 1 | 1 | TUESDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Insurance | NaN | 0.709309 | 0.661024 | 3.0 | 1.0 | 3.0 | 0.0 | -535.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 11104 | 112936 | 1 | Cash loans | F | N | N | 1 | 270000.0 | 1206954.0 | 31968.0 | 945000.0 | NaN | Commercial associate | Secondary / secondary special | Single / not married | With parents | 0.046220 | -9418 | -981 | -6695.000000 | -2092 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Medicine staff | 2.0 | 1 | 1 | WEDNESDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Medicine | NaN | 0.610431 | 0.499272 | 0.0 | 0.0 | 0.0 | 0.0 | -6.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 11151 | 112995 | 0 | Cash loans | M | Y | N | 1 | 360000.0 | 781920.0 | 23836.5 | 675000.0 | NaN | Pensioner | Higher education | Married | House / apartment | 0.024610 | -20340 | 365243 | -6191.000000 | -2277 | 19.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 3.0 | 2 | 2 | WEDNESDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.661877 | 0.410103 | 3.0 | 2.0 | 3.0 | 2.0 | -2553.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 11.0 | 0.0 | 0.0 |
| 11287 | 113148 | 0 | Revolving loans | F | N | Y | 4 | 225000.0 | 135000.0 | 6750.0 | 0.0 | NaN | State servant | Secondary / secondary special | Single / not married | House / apartment | 0.003541 | -17610 | -4662 | -8233.000000 | -1148 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 5.0 | 1 | 1 | THURSDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | School | NaN | 0.419290 | 0.513694 | 3.0 | 0.0 | 3.0 | 0.0 | -1780.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 |
| 11903 | 113876 | 0 | Cash loans | F | N | N | 0 | 315000.0 | 1191595.5 | 31432.5 | 1191595.5 | NaN | Working | Higher education | Single / not married | House / apartment | 0.010966 | -11881 | -3905 | -4300.000000 | -3082 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Managers | 1.0 | 2 | 2 | MONDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | School | NaN | 0.570715 | 0.231439 | 0.0 | 0.0 | 0.0 | 0.0 | -1412.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | 1.0 |
| 12024 | 114022 | 0 | Cash loans | F | N | N | 0 | 148500.0 | 348264.0 | 18508.5 | 315000.0 | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.009175 | -22503 | -266 | -10032.000000 | -4437 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | High skill tech staff | 1.0 | 2 | 2 | TUESDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.652973 | 0.792264 | 4.0 | 0.0 | 4.0 | 0.0 | -247.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 12160 | 114179 | 0 | Cash loans | M | Y | Y | 0 | 180000.0 | 269550.0 | 12618.0 | 225000.0 | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.019689 | -19025 | -3687 | -7493.000000 | -2452 | 15.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | THURSDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | NaN | 0.499280 | 0.551381 | 1.0 | 0.0 | 1.0 | 0.0 | -3480.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 12220 | 114249 | 0 | Cash loans | M | N | N | 0 | 180000.0 | 547344.0 | 17608.5 | 472500.0 | NaN | Pensioner | Secondary / secondary special | Married | House / apartment | 0.014464 | -22355 | 365243 | -677.000000 | -1220 | NaN | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 4 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.531063 | 0.662638 | 0.0 | 0.0 | 0.0 | 0.0 | -16.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 12846 | 114973 | 0 | Cash loans | M | Y | N | 1 | 261000.0 | 2377431.0 | 62847.0 | 1984500.0 | NaN | Commercial associate | Higher education | Married | House / apartment | 0.007274 | -10805 | -954 | -1409.000000 | -3460 | 7.0 | 1 | 1 | 0 | 1 | 1 | 0 | High skill tech staff | 3.0 | 2 | 2 | SUNDAY | 13 | 0 | 0 | 0 | 0 | 1 | 1 | Industry: type 9 | 0.583131 | 0.521468 | 0.483050 | 0.0 | 0.0 | 0.0 | 0.0 | -4.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 13008 | 115162 | 0 | Revolving loans | F | N | Y | 1 | 157500.0 | 450000.0 | 22500.0 | 0.0 | NaN | State servant | Higher education | Married | House / apartment | 0.046220 | -14005 | -1404 | -2284.000000 | -2282 | NaN | 1 | 1 | 1 | 1 | 1 | 1 | Laborers | 3.0 | 1 | 1 | TUESDAY | 14 | 0 | 0 | 0 | 0 | 1 | 1 | Housing | 0.485762 | 0.719591 | 0.470456 | 1.0 | 1.0 | 1.0 | 1.0 | -1837.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 |
| 13602 | 115851 | 0 | Cash loans | F | N | N | 0 | 90000.0 | 286704.0 | 13284.0 | 247500.0 | NaN | Commercial associate | Secondary / secondary special | Single / not married | House / apartment | 0.024610 | -10055 | -674 | -4177.000000 | -2717 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 1.0 | 2 | 2 | WEDNESDAY | 12 | 0 | 0 | 0 | 1 | 1 | 0 | Business Entity Type 3 | NaN | 0.667628 | 0.251239 | 1.0 | 1.0 | 1.0 | 1.0 | -766.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 13729 | 115999 | 0 | Cash loans | M | Y | N | 0 | 225000.0 | 450000.0 | 29227.5 | 450000.0 | NaN | Commercial associate | Higher education | Married | House / apartment | 0.026392 | -18494 | -9247 | -6843.000000 | -2048 | 1.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Culture | 0.130694 | 0.690225 | 0.454321 | 1.0 | 0.0 | 1.0 | 0.0 | -767.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 13935 | 116248 | 0 | Cash loans | M | Y | N | 1 | 157500.0 | 1113840.0 | 51745.5 | 900000.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.035792 | -8456 | -368 | -1681.000000 | -1135 | 10.0 | 1 | 1 | 1 | 1 | 0 | 0 | Drivers | 3.0 | 2 | 2 | TUESDAY | 12 | 0 | 0 | 0 | 1 | 1 | 1 | Business Entity Type 1 | NaN | 0.439066 | 0.519097 | 5.0 | 0.0 | 5.0 | 0.0 | -833.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 14262 | 116635 | 0 | Cash loans | M | N | N | 0 | 424350.0 | 2013840.0 | 53253.0 | 1800000.0 | NaN | State servant | Higher education | Married | House / apartment | 0.002506 | -16100 | -845 | -2491.000000 | -4517 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 2.0 | 2 | 2 | FRIDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Government | NaN | 0.723208 | 0.432962 | 1.0 | 0.0 | 1.0 | 0.0 | -4.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 14575 | 117006 | 0 | Cash loans | F | N | N | 0 | 211500.0 | 970380.0 | 25726.5 | 810000.0 | NaN | State servant | Higher education | Married | House / apartment | 0.002506 | -15919 | -3654 | -351.000000 | -3991 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 2.0 | 2 | 2 | MONDAY | 4 | 0 | 0 | 0 | 0 | 0 | 0 | School | NaN | 0.723703 | 0.687933 | 0.0 | 0.0 | 0.0 | 0.0 | -37.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 |
| 14576 | 117008 | 0 | Cash loans | M | Y | Y | 3 | 405000.0 | 1005120.0 | 28935.0 | 720000.0 | NaN | Commercial associate | Higher education | Married | House / apartment | 0.024610 | -15450 | -7201 | -1883.000000 | -1320 | 1.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 5.0 | 2 | 2 | MONDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Industry: type 1 | NaN | 0.682050 | 0.323311 | 0.0 | 0.0 | 0.0 | 0.0 | -565.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 |
| 14627 | 117067 | 0 | Cash loans | M | Y | N | 0 | 202500.0 | 528633.0 | 34308.0 | 472500.0 | NaN | Commercial associate | Secondary / secondary special | Widow | House / apartment | 0.019689 | -21911 | -14208 | -130.000000 | -1377 | 16.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 1.0 | 2 | 2 | FRIDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.297595 | 0.798137 | 4.0 | 0.0 | 4.0 | 0.0 | -4.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 14699 | 117150 | 0 | Revolving loans | M | N | N | 1 | 135000.0 | 270000.0 | 13500.0 | 0.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.024610 | -9962 | -1676 | -4321.000000 | -2592 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Drivers | 3.0 | 2 | 2 | THURSDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Military | NaN | 0.358644 | 0.465069 | 6.0 | 0.0 | 6.0 | 0.0 | -378.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | 2.0 |
| 14997 | 117511 | 0 | Cash loans | M | Y | N | 0 | 81000.0 | 225000.0 | 6822.0 | 225000.0 | NaN | Pensioner | Secondary / secondary special | Married | House / apartment | 0.028663 | -23933 | 365243 | -9925.000000 | -4073 | 13.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.596229 | 0.670652 | 0.0 | 0.0 | 0.0 | 0.0 | -3.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 |
| 15237 | 117792 | 0 | Cash loans | M | N | N | 0 | 112500.0 | 534672.0 | 14233.5 | 423000.0 | NaN | Working | Secondary / secondary special | Married | Municipal apartment | 0.010643 | -10661 | -1536 | -10646.000000 | -3343 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 12 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 2 | NaN | 0.491901 | 0.404878 | 0.0 | 0.0 | 0.0 | 0.0 | -4.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 15400 | 117974 | 0 | Cash loans | F | N | N | 0 | 234000.0 | 970380.0 | 25726.5 | 810000.0 | NaN | Working | Incomplete higher | Single / not married | House / apartment | 0.008866 | -8526 | -1752 | -5600.000000 | -1178 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | SATURDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Construction | NaN | 0.425596 | 0.479449 | 0.0 | 0.0 | 0.0 | 0.0 | -375.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 |
| 15953 | 118618 | 0 | Revolving loans | F | N | N | 1 | 90000.0 | 270000.0 | 13500.0 | 0.0 | NaN | Commercial associate | Higher education | Married | House / apartment | 0.008625 | -10233 | -2216 | -4304.000000 | -2191 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Waiters/barmen staff | 3.0 | 2 | 2 | WEDNESDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.355611 | 0.761872 | 0.617826 | 2.0 | 0.0 | 2.0 | 0.0 | -1604.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 16225 | 118923 | 0 | Cash loans | F | N | N | 0 | 112500.0 | 616500.0 | 17797.5 | 616500.0 | NaN | Working | Higher education | Married | House / apartment | 0.028663 | -10315 | -934 | -842.000000 | -387 | NaN | 1 | 1 | 0 | 1 | 0 | 1 | Core staff | 2.0 | 2 | 2 | TUESDAY | 14 | 0 | 0 | 0 | 1 | 1 | 0 | Trade: type 3 | 0.312820 | 0.643570 | 0.352340 | 0.0 | 0.0 | 0.0 | 0.0 | -764.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 16456 | 119193 | 0 | Cash loans | M | Y | N | 0 | 112500.0 | 225000.0 | 6448.5 | 225000.0 | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.026392 | -10230 | -285 | -2698.000000 | -2902 | 10.0 | 1 | 1 | 0 | 1 | 1 | 0 | Laborers | 1.0 | 2 | 2 | FRIDAY | 12 | 0 | 0 | 0 | 0 | 1 | 1 | Industry: type 9 | NaN | 0.563408 | 0.240541 | 1.0 | 1.0 | 1.0 | 1.0 | -738.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 2.0 |
| 16698 | 119475 | 0 | Cash loans | M | Y | N | 2 | 216000.0 | 673875.0 | 17905.5 | 562500.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.010006 | -13258 | -2650 | -2938.000000 | -1626 | 12.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 4.0 | 2 | 1 | FRIDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Industry: type 9 | NaN | 0.543083 | 0.652897 | 1.0 | 0.0 | 1.0 | 0.0 | -383.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 16968 | 119792 | 0 | Cash loans | F | N | Y | 2 | 112500.0 | 933300.0 | 26748.0 | 933300.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.026392 | -12542 | -2607 | -1197.000000 | -4795 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Sales staff | 4.0 | 2 | 2 | TUESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.529548 | 0.700085 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -529.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 17111 | 119959 | 0 | Cash loans | M | N | N | 0 | 270000.0 | 900000.0 | 46732.5 | 900000.0 | NaN | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.009334 | -9017 | -245 | -581.000000 | -1689 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 16 | 0 | 1 | 1 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.285706 | 0.358951 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 17257 | 120127 | 0 | Cash loans | M | N | N | 1 | 243000.0 | 1515415.5 | 40104.0 | 1354500.0 | NaN | Commercial associate | Higher education | Married | With parents | 0.046220 | -10295 | -852 | -324.000000 | -2806 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 3.0 | 1 | 1 | MONDAY | 17 | 0 | 1 | 1 | 0 | 0 | 0 | Trade: type 3 | NaN | 0.712867 | 0.612704 | 0.0 | 0.0 | 0.0 | 0.0 | -8.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 17796 | 120750 | 0 | Cash loans | F | N | N | 0 | 126000.0 | 781920.0 | 23706.0 | 675000.0 | NaN | Pensioner | Secondary / secondary special | Married | House / apartment | 0.046220 | -22336 | 365243 | -9219.000000 | -4095 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 1 | 1 | FRIDAY | 18 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.675542 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -4.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 18060 | 121063 | 0 | Cash loans | M | Y | N | 0 | 247500.0 | 2250000.0 | 59355.0 | 2250000.0 | NaN | State servant | Higher education | Single / not married | House / apartment | 0.026392 | -11463 | -3800 | -1367.000000 | -4020 | 2.0 | 1 | 1 | 1 | 1 | 1 | 0 | Drivers | 1.0 | 2 | 2 | SATURDAY | 13 | 0 | 0 | 0 | 0 | 1 | 1 | Police | NaN | 0.637927 | 0.600658 | 4.0 | 0.0 | 4.0 | 0.0 | -8.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 18276 | 121319 | 0 | Cash loans | M | Y | N | 0 | 180000.0 | 779688.0 | 29025.0 | 630000.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.022625 | -19383 | -5341 | -3248.000000 | -2854 | 1.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | WEDNESDAY | 15 | 0 | 0 | 0 | 0 | 1 | 1 | Transport: type 4 | NaN | 0.570114 | 0.605836 | 5.0 | 1.0 | 5.0 | 1.0 | -5.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 18423 | 121491 | 0 | Cash loans | F | N | N | 0 | 103500.0 | 513531.0 | 19161.0 | 459000.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.018850 | -17968 | -190 | -8956.000000 | -1516 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 2.0 | 2 | 2 | WEDNESDAY | 16 | 0 | 0 | 0 | 0 | 1 | 1 | Trade: type 3 | 0.502219 | 0.678301 | 0.231439 | 6.0 | 1.0 | 6.0 | 1.0 | -76.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 |
| 18856 | 121988 | 0 | Cash loans | M | N | N | 0 | 135000.0 | 254700.0 | 23697.0 | 225000.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.006629 | -17721 | -1600 | -3036.000000 | -1244 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Security staff | 2.0 | 2 | 2 | WEDNESDAY | 6 | 0 | 0 | 0 | 0 | 0 | 0 | Security | NaN | 0.591397 | 0.761026 | 0.0 | 0.0 | 0.0 | 0.0 | -5.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 18935 | 122080 | 0 | Revolving loans | M | N | Y | 0 | 157500.0 | 180000.0 | 9000.0 | 0.0 | NaN | Working | Lower secondary | Married | House / apartment | 0.003813 | -9727 | -2137 | -4394.000000 | -2301 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Sales staff | 2.0 | 2 | 2 | MONDAY | 7 | 0 | 0 | 0 | 0 | 1 | 1 | Self-employed | 0.121856 | 0.283778 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1528.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 19093 | 122275 | 0 | Cash loans | M | N | N | 0 | 67500.0 | 315000.0 | 16132.5 | 315000.0 | NaN | Pensioner | Secondary / secondary special | Married | House / apartment | 0.019101 | -24764 | 365243 | -9860.000000 | -4261 | NaN | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | SATURDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.777467 | 0.763640 | 0.0 | 0.0 | 0.0 | 0.0 | -3.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 19166 | 122362 | 0 | Cash loans | M | N | N | 0 | 90000.0 | 521280.0 | 27292.5 | 450000.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.025164 | -14078 | -2136 | -4327.000000 | -4451 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Drivers | 2.0 | 2 | 2 | THURSDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Transport: type 3 | NaN | 0.293090 | NaN | 2.0 | 1.0 | 2.0 | 1.0 | -524.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 19178 | 122374 | 0 | Revolving loans | F | N | Y | 0 | 67500.0 | 180000.0 | 9000.0 | 0.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.006008 | -10777 | -3330 | -706.000000 | -873 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | TUESDAY | 15 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 2 | 0.171354 | 0.600496 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -473.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 19547 | 122792 | 0 | Cash loans | F | Y | N | 0 | 202500.0 | 986553.0 | 28404.0 | 823500.0 | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.035792 | -14727 | -1162 | -3389.000000 | -4697 | 4.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | SATURDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Construction | 0.411021 | 0.568983 | 0.216403 | 4.0 | 0.0 | 4.0 | 0.0 | -398.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 19664 | 122932 | 0 | Cash loans | F | N | N | 1 | 112500.0 | 497520.0 | 25402.5 | 450000.0 | NaN | Working | Higher education | Married | House / apartment | 0.019101 | -19042 | -1654 | -383.000000 | -2583 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | High skill tech staff | 3.0 | 2 | 2 | TUESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.788333 | 0.679760 | 0.586740 | 1.0 | 0.0 | 1.0 | 0.0 | -26.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 |
| 19895 | 123202 | 0 | Cash loans | F | Y | N | 0 | 360000.0 | 1540588.5 | 40770.0 | 1377000.0 | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.046220 | -9857 | -1548 | -2947.000000 | -2310 | 3.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 2.0 | 1 | 1 | MONDAY | 13 | 0 | 1 | 1 | 0 | 0 | 0 | Trade: type 7 | 0.364106 | 0.722450 | 0.326475 | 0.0 | 0.0 | 0.0 | 0.0 | -3.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 19921 | 123233 | 0 | Revolving loans | F | N | N | 0 | 90000.0 | 180000.0 | 9000.0 | 0.0 | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.004960 | -12920 | -100 | -5986.000000 | -4363 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Security staff | 1.0 | 2 | 2 | SATURDAY | 18 | 0 | 0 | 0 | 0 | 0 | 0 | Security | 0.096934 | 0.603896 | 0.374021 | 2.0 | 0.0 | 2.0 | 0.0 | -564.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | 1.0 |
| 20061 | 123403 | 0 | Cash loans | F | N | N | 0 | 112500.0 | 254700.0 | 23944.5 | 225000.0 | NaN | Working | Higher education | Civil marriage | House / apartment | 0.010966 | -9976 | -884 | -1617.000000 | -1827 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Drivers | 2.0 | 2 | 2 | SUNDAY | 19 | 0 | 0 | 0 | 1 | 1 | 0 | Business Entity Type 3 | NaN | 0.276008 | 0.678568 | 0.0 | 0.0 | 0.0 | 0.0 | -2.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 20308 | 123696 | 0 | Cash loans | F | N | N | 0 | 157500.0 | 597339.0 | 30474.0 | 553500.0 | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.031329 | -11957 | -2538 | -11671.000000 | -2848 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | MONDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Housing | 0.521450 | 0.547020 | 0.683269 | 5.0 | 0.0 | 5.0 | 0.0 | -2953.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 20560 | 123975 | 0 | Cash loans | M | Y | N | 0 | 225000.0 | 1525482.0 | 42079.5 | 1363500.0 | NaN | State servant | Secondary / secondary special | Married | House / apartment | 0.030755 | -13730 | -6096 | -42.000000 | -3709 | 1.0 | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 2.0 | 2 | 2 | TUESDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Security Ministries | 0.510805 | 0.639980 | 0.667458 | 0.0 | 0.0 | 0.0 | 0.0 | -3.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 21193 | 124697 | 0 | Revolving loans | F | N | Y | 0 | 202500.0 | 270000.0 | 13500.0 | 0.0 | NaN | Working | Higher education | Married | Co-op apartment | 0.025164 | -16944 | -686 | -9883.000000 | -471 | NaN | 1 | 1 | 0 | 1 | 1 | 1 | Laborers | 2.0 | 2 | 2 | THURSDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | 0.486563 | 0.313315 | 0.510090 | 0.0 | 0.0 | 0.0 | 0.0 | -1822.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 21240 | 124753 | 0 | Cash loans | M | N | N | 1 | 180000.0 | 900000.0 | 33354.0 | 900000.0 | NaN | Working | Incomplete higher | Single / not married | House / apartment | 0.014464 | -8573 | -199 | -3428.000000 | -1249 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | FRIDAY | 4 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.284932 | 0.572316 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -874.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 21338 | 124859 | 0 | Revolving loans | M | N | Y | 0 | 225000.0 | 675000.0 | 33750.0 | 0.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.035792 | -17658 | -5986 | -12170.000000 | -1212 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Managers | 2.0 | 2 | 2 | TUESDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.759925 | 0.537859 | 0.255332 | 0.0 | 0.0 | 0.0 | 0.0 | -1455.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 21546 | 125096 | 0 | Revolving loans | F | N | N | 1 | 45000.0 | 135000.0 | 6750.0 | 0.0 | NaN | Working | Secondary / secondary special | Civil marriage | Municipal apartment | 0.031329 | -7727 | -1159 | -7704.000000 | -381 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Core staff | 3.0 | 2 | 2 | FRIDAY | 12 | 0 | 0 | 0 | 0 | 1 | 1 | Government | NaN | 0.491223 | NaN | 15.0 | 0.0 | 15.0 | 0.0 | -245.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 21888 | 125498 | 1 | Cash loans | F | N | N | 0 | 157500.0 | 426600.0 | 12352.5 | 337500.0 | NaN | Working | Higher education | Married | House / apartment | 0.022625 | -14509 | -3672 | -6430.000000 | -4308 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | HR staff | 2.0 | 2 | 2 | FRIDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Security | 0.738645 | 0.663627 | 0.186293 | 0.0 | 0.0 | 0.0 | 0.0 | -8.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 21970 | 125594 | 0 | Cash loans | M | Y | N | 0 | 211500.0 | 432661.5 | 16609.5 | 373500.0 | NaN | State servant | Secondary / secondary special | Civil marriage | With parents | 0.010032 | -8945 | -460 | -3304.000000 | -1368 | 11.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | WEDNESDAY | 8 | 0 | 0 | 0 | 0 | 1 | 1 | Military | NaN | 0.048028 | 0.492060 | 3.0 | 0.0 | 3.0 | 0.0 | -5.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 22007 | 125634 | 1 | Cash loans | M | Y | N | 0 | 247500.0 | 675000.0 | 17937.0 | 675000.0 | NaN | Working | Higher education | Single / not married | House / apartment | 0.014520 | -9984 | -583 | -3705.000000 | -2652 | 1.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | WEDNESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.448166 | 0.143758 | 0.0 | 0.0 | 0.0 | 0.0 | -271.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 22175 | 125821 | 0 | Cash loans | F | N | N | 0 | 112500.0 | 1546020.0 | 42642.0 | 1350000.0 | NaN | State servant | Higher education | Married | House / apartment | 0.019101 | -16926 | -3603 | -2458.000000 | -477 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Core staff | 2.0 | 2 | 2 | FRIDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | School | 0.752369 | 0.680393 | 0.502878 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 22189 | 125836 | 0 | Cash loans | F | N | N | 0 | 247500.0 | 913500.0 | 24228.0 | 913500.0 | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.009630 | -16892 | -4110 | -9485.000000 | -440 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | SATURDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.364889 | 0.488455 | 2.0 | 0.0 | 1.0 | 0.0 | -189.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 22597 | 126294 | 0 | Cash loans | F | N | N | 0 | 495000.0 | 315000.0 | 12456.0 | 315000.0 | NaN | Commercial associate | Higher education | Separated | House / apartment | 0.003541 | -13526 | -216 | -759.000000 | -3520 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Accountants | 1.0 | 1 | 1 | THURSDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Industry: type 9 | 0.371797 | 0.508355 | 0.598926 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 22652 | 126360 | 0 | Cash loans | F | Y | Y | 0 | 180000.0 | 2517300.0 | 69223.5 | 2250000.0 | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.008230 | -21211 | -968 | -4283.000000 | -4435 | 2.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 14 | 0 | 1 | 1 | 0 | 1 | 1 | Other | NaN | 0.557876 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 22871 | 126616 | 0 | Cash loans | F | N | N | 0 | 67500.0 | 254700.0 | 13446.0 | 225000.0 | NaN | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.072508 | -24712 | 365243 | -5506.000000 | -4142 | NaN | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 1 | 1 | SATURDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.697454 | 0.730872 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -1.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 2.0 |
| 23851 | 127748 | 0 | Cash loans | F | N | N | 0 | 225000.0 | 490536.0 | 25528.5 | 405000.0 | NaN | State servant | Secondary / secondary special | Single / not married | House / apartment | 0.072508 | -17013 | -3107 | -684.000000 | -547 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 1.0 | 1 | 1 | SATURDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | School | NaN | 0.713681 | 0.283712 | 7.0 | 0.0 | 7.0 | 0.0 | -1047.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 24056 | 127977 | 0 | Cash loans | M | Y | N | 1 | 315000.0 | 505332.0 | 32805.0 | 477000.0 | NaN | Working | Higher education | Single / not married | House / apartment | 0.007274 | -12768 | -678 | -4372.000000 | -4231 | 1.0 | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 2.0 | 2 | 2 | SATURDAY | 16 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | 0.291615 | 0.444950 | 0.331251 | 0.0 | 0.0 | 0.0 | 0.0 | -2.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 24193 | 128137 | 0 | Cash loans | M | Y | N | 0 | 270000.0 | 1890000.0 | 70173.0 | 1890000.0 | NaN | Commercial associate | Higher education | Married | House / apartment | 0.008625 | -12876 | -2504 | -973.000000 | -4667 | 1.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 2.0 | 2 | 2 | TUESDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Transport: type 4 | 0.456372 | 0.636127 | 0.436506 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 24730 | 128764 | 0 | Cash loans | F | N | N | 0 | 112500.0 | 983299.5 | 41661.0 | 904500.0 | NaN | Pensioner | Higher education | Married | House / apartment | 0.024610 | -20807 | 365243 | -3065.000000 | -4359 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 18 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.803662 | 0.591878 | 0.703203 | 0.0 | 0.0 | 0.0 | 0.0 | -1184.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 24884 | 128940 | 0 | Cash loans | F | N | Y | 0 | 54000.0 | 177903.0 | 7965.0 | 148500.0 | NaN | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.018801 | -23777 | 365243 | -10942.000000 | -4594 | NaN | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | WEDNESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.722020 | 0.250118 | 0.472253 | 5.0 | 0.0 | 5.0 | 0.0 | -1.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 25391 | 129532 | 0 | Revolving loans | M | N | Y | 1 | 382500.0 | 270000.0 | 13500.0 | 0.0 | NaN | Commercial associate | Higher education | Single / not married | House / apartment | 0.046220 | -8993 | -641 | -2332.000000 | -1676 | NaN | 1 | 1 | 1 | 1 | 1 | 1 | Managers | 2.0 | 1 | 1 | SATURDAY | 16 | 0 | 1 | 1 | 0 | 1 | 1 | Construction | NaN | 0.633927 | 0.051329 | 3.0 | 0.0 | 3.0 | 0.0 | -208.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 25707 | 129891 | 0 | Cash loans | M | N | N | 0 | 54000.0 | 135000.0 | 5130.0 | 135000.0 | NaN | Pensioner | Secondary / secondary special | Married | House / apartment | 0.018209 | -20678 | 365243 | -2613.000000 | -4143 | NaN | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 3 | TUESDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.392703 | 0.331251 | 0.0 | 0.0 | 0.0 | 0.0 | -2.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 25739 | 129924 | 0 | Cash loans | F | N | Y | 0 | 202500.0 | 358213.5 | 18324.0 | 324000.0 | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.022625 | -17242 | -1779 | -5513.000000 | -763 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Private service staff | 2.0 | 2 | 2 | TUESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Services | NaN | 0.714449 | 0.252599 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 26398 | 130692 | 0 | Revolving loans | M | N | N | 0 | 135000.0 | 495000.0 | 24750.0 | 0.0 | NaN | Pensioner | Higher education | Single / not married | House / apartment | 0.020713 | -22009 | 365243 | -342.000000 | -1397 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 3 | 2 | FRIDAY | 6 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.819146 | 0.005691 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -462.0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 26450 | 130751 | 0 | Cash loans | M | Y | N | 1 | 315000.0 | 1381113.0 | 38110.5 | 1206000.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.019689 | -12661 | -389 | -1819.000000 | -4456 | 11.0 | 1 | 1 | 0 | 1 | 0 | 0 | Drivers | 3.0 | 2 | 2 | MONDAY | 13 | 0 | 1 | 1 | 0 | 1 | 1 | Industry: type 5 | 0.328874 | 0.585508 | 0.619528 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 26555 | 130867 | 0 | Cash loans | F | Y | N | 0 | 157500.0 | 720000.0 | 19120.5 | 720000.0 | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.028663 | -12386 | -2020 | -2143.000000 | -2111 | 10.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | SUNDAY | 10 | 0 | 0 | 0 | 1 | 1 | 0 | Construction | 0.578404 | 0.654394 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -5.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 26736 | 131077 | 0 | Revolving loans | F | N | Y | 0 | 90000.0 | 202500.0 | 10125.0 | 0.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.018634 | -14069 | -2646 | -2821.000000 | -1141 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Managers | 2.0 | 2 | 2 | THURSDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Postal | 0.510107 | 0.592876 | 0.450747 | 1.0 | 0.0 | 1.0 | 0.0 | -1030.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 26791 | 131141 | 0 | Cash loans | F | N | N | 0 | 112500.0 | 550080.0 | 14638.5 | 360000.0 | NaN | Commercial associate | Higher education | Single / not married | House / apartment | 0.005313 | -10048 | -476 | -4367.000000 | -2703 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 1.0 | 2 | 2 | MONDAY | 15 | 1 | 1 | 0 | 1 | 0 | 0 | Trade: type 1 | 0.179393 | 0.671623 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -246.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 26809 | 131160 | 0 | Cash loans | M | Y | N | 1 | 225000.0 | 1260000.0 | 36238.5 | 1260000.0 | NaN | Working | Higher education | Married | House / apartment | 0.022625 | -12129 | -697 | -6276.000000 | -2277 | 3.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 3.0 | 2 | 2 | SUNDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Trade: type 7 | NaN | 0.671358 | 0.479449 | 2.0 | 0.0 | 2.0 | 0.0 | -512.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 27003 | 131385 | 0 | Revolving loans | M | N | Y | 0 | 180000.0 | 450000.0 | 22500.0 | 0.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.022625 | -16559 | -496 | -3284.000000 | -111 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 2.0 | 2 | 2 | WEDNESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.573238 | 0.561724 | 0.258084 | 0.0 | 0.0 | 0.0 | 0.0 | -813.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 |
| 27718 | 132228 | 0 | Cash loans | M | N | N | 0 | 112500.0 | 288873.0 | 15376.5 | 238500.0 | NaN | Working | Higher education | Separated | House / apartment | 0.022625 | -16836 | -906 | -2894.000000 | -373 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Security staff | 1.0 | 2 | 2 | THURSDAY | 12 | 0 | 0 | 0 | 1 | 1 | 0 | Security | NaN | 0.528879 | 0.497469 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 27964 | 132511 | 0 | Cash loans | F | Y | N | 0 | 90000.0 | 555273.0 | 14778.0 | 463500.0 | NaN | Working | Higher education | Married | House / apartment | 0.018634 | -12515 | -2442 | -1866.000000 | -4732 | 8.0 | 1 | 1 | 0 | 1 | 0 | 0 | High skill tech staff | 2.0 | 2 | 2 | FRIDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.327101 | 0.526110 | 0.610991 | 5.0 | 1.0 | 5.0 | 1.0 | -3.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 28016 | 132567 | 0 | Cash loans | M | N | N | 0 | 180000.0 | 630000.0 | 32134.5 | 630000.0 | NaN | Working | Higher education | Civil marriage | House / apartment | 0.008575 | -20378 | -1310 | -2805.000000 | -3024 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | High skill tech staff | 2.0 | 2 | 2 | SATURDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Transport: type 2 | NaN | 0.675192 | 0.716570 | 0.0 | 0.0 | 0.0 | 0.0 | -111.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 1.0 |
| 28201 | 132778 | 0 | Revolving loans | F | N | Y | 0 | 45000.0 | 315000.0 | 15750.0 | 0.0 | NaN | Pensioner | Secondary / secondary special | Married | House / apartment | 0.019101 | -23588 | 365243 | -3752.000000 | -4715 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.777104 | 0.642666 | 0.339288 | 1.0 | 0.0 | 1.0 | 0.0 | -1646.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 28389 | 132995 | 0 | Cash loans | F | N | N | 1 | 135000.0 | 310671.0 | 15912.0 | 256500.0 | NaN | Commercial associate | Secondary / secondary special | Separated | House / apartment | 0.020246 | -15984 | -5277 | -1233.000000 | -5622 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 2.0 | 3 | 3 | TUESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Industry: type 5 | NaN | 0.362425 | 0.360613 | 0.0 | 0.0 | 0.0 | 0.0 | -2370.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 29059 | 133761 | 0 | Revolving loans | F | N | Y | 2 | 81000.0 | 247500.0 | 12375.0 | 0.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.031329 | -11751 | -2601 | -975.000000 | -4392 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Core staff | 4.0 | 2 | 2 | THURSDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Industry: type 3 | 0.572535 | 0.640474 | 0.508287 | 0.0 | 0.0 | 0.0 | 0.0 | -2202.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 29217 | 133934 | 0 | Cash loans | F | N | N | 0 | 144000.0 | 247275.0 | 18225.0 | 225000.0 | NaN | Commercial associate | Higher education | Separated | Rented apartment | 0.030755 | -13691 | -293 | -1818.000000 | -5268 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 1.0 | 2 | 2 | SATURDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Military | 0.571091 | 0.651555 | 0.222581 | 0.0 | 0.0 | 0.0 | 0.0 | -910.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 29223 | 133944 | 0 | Cash loans | M | Y | N | 0 | 90000.0 | 436032.0 | 22707.0 | 360000.0 | NaN | Commercial associate | Secondary / secondary special | Separated | House / apartment | 0.035792 | -17339 | -4518 | -26.000000 | -764 | 10.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 1.0 | 2 | 2 | WEDNESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Other | NaN | 0.628721 | 0.155689 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 29561 | 134323 | 0 | Cash loans | F | N | N | 3 | 193500.0 | 1125000.0 | 41823.0 | 1125000.0 | NaN | Commercial associate | Higher education | Married | House / apartment | 0.007274 | -13390 | -2267 | -3891.000000 | -2719 | NaN | 1 | 1 | 0 | 1 | 0 | 1 | Core staff | 5.0 | 2 | 2 | THURSDAY | 18 | 0 | 0 | 0 | 0 | 0 | 0 | Bank | 0.219308 | 0.365123 | 0.576209 | 6.0 | 0.0 | 6.0 | 0.0 | -68.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 |
| 29611 | 134381 | 0 | Cash loans | F | Y | N | 0 | 90000.0 | 239850.0 | 24336.0 | 225000.0 | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.019689 | -11014 | -3663 | -1253.000000 | -2540 | 9.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | WEDNESDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Trade: type 1 | NaN | 0.345832 | 0.524496 | 1.0 | 1.0 | 1.0 | 1.0 | -1.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 29843 | 134646 | 0 | Cash loans | M | N | N | 0 | 90000.0 | 979992.0 | 25848.0 | 702000.0 | NaN | Working | Secondary / secondary special | Separated | House / apartment | 0.018801 | -16752 | -999 | -2548.000000 | -277 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | High skill tech staff | 1.0 | 2 | 2 | SATURDAY | 10 | 0 | 1 | 1 | 0 | 1 | 1 | Business Entity Type 3 | NaN | 0.559030 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -3.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 29902 | 134713 | 0 | Cash loans | M | N | Y | 2 | 135000.0 | 900000.0 | 28390.5 | 900000.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.028663 | -15467 | -2379 | -2494.000000 | -4572 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Managers | 4.0 | 2 | 2 | FRIDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.579167 | 0.579094 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 30164 | 135010 | 0 | Revolving loans | F | N | Y | 1 | 121500.0 | 405000.0 | 20250.0 | 0.0 | NaN | Commercial associate | Higher education | Married | House / apartment | 0.026392 | -10168 | -759 | -4235.000000 | -2840 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Core staff | 3.0 | 2 | 2 | SATURDAY | 20 | 0 | 0 | 0 | 0 | 0 | 0 | School | 0.644572 | 0.709507 | 0.798137 | 0.0 | 0.0 | 0.0 | 0.0 | -1698.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 30294 | 135159 | 0 | Revolving loans | M | N | Y | 0 | 225000.0 | 450000.0 | 22500.0 | 0.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.022625 | -12943 | -2214 | -7000.000000 | -4355 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | WEDNESDAY | 17 | 0 | 0 | 0 | 0 | 1 | 1 | Transport: type 4 | 0.158424 | 0.683045 | 0.689479 | 0.0 | 0.0 | 0.0 | 0.0 | -1525.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 30502 | 135402 | 0 | Cash loans | F | N | N | 0 | 90000.0 | 276277.5 | 10368.0 | 238500.0 | NaN | Pensioner | Secondary / secondary special | Married | House / apartment | 0.016612 | -22789 | 365243 | -15181.000000 | -4177 | NaN | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | MONDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.095598 | 0.621226 | 0.0 | 0.0 | 0.0 | 0.0 | -2.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 30611 | 135529 | 0 | Cash loans | F | Y | N | 0 | 405000.0 | 675000.0 | 30631.5 | 675000.0 | NaN | Working | Higher education | Married | House / apartment | 0.010006 | -16721 | -1482 | -1432.000000 | -265 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Accountants | 2.0 | 2 | 1 | SATURDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Industry: type 9 | NaN | 0.716030 | 0.546023 | 4.0 | 0.0 | 4.0 | 0.0 | -128.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 30891 | 135860 | 0 | Cash loans | M | Y | N | 2 | 247500.0 | 348264.0 | 20866.5 | 315000.0 | NaN | Commercial associate | Incomplete higher | Married | House / apartment | 0.032561 | -12811 | -930 | -6922.000000 | -4325 | 2.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 4.0 | 1 | 1 | MONDAY | 10 | 0 | 1 | 1 | 0 | 1 | 1 | Business Entity Type 3 | NaN | 0.652844 | 0.593718 | 0.0 | 0.0 | 0.0 | 0.0 | -1671.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 31545 | 136590 | 0 | Cash loans | F | N | N | 0 | 360000.0 | 942300.0 | 26041.5 | 675000.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.046220 | -10590 | -308 | -655.000000 | -2460 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Core staff | 2.0 | 1 | 1 | FRIDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Kindergarten | 0.542131 | 0.726162 | 0.649620 | 1.0 | 0.0 | 1.0 | 0.0 | -4.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 32023 | 137135 | 0 | Cash loans | F | Y | N | 0 | 117000.0 | 904500.0 | 26050.5 | 904500.0 | NaN | Working | Higher education | Married | House / apartment | 0.008575 | -10368 | -2204 | -10339.000000 | -474 | 2.0 | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 2.0 | 2 | 2 | SATURDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Government | 0.265428 | 0.639980 | 0.563835 | 0.0 | 0.0 | 0.0 | 0.0 | -4.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 32042 | 137156 | 0 | Cash loans | F | N | N | 0 | 157500.0 | 755190.0 | 28894.5 | 675000.0 | NaN | Commercial associate | Higher education | Widow | Rented apartment | 0.025164 | -18375 | -6375 | -3576.000000 | -1912 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | WEDNESDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | School | 0.798075 | 0.691495 | 0.654529 | 4.0 | 0.0 | 4.0 | 0.0 | -1.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 32099 | 137220 | 0 | Cash loans | M | Y | N | 1 | 337500.0 | 3150000.0 | 79632.0 | 3150000.0 | NaN | Commercial associate | Higher education | Married | House / apartment | 0.019101 | -15842 | -344 | -7556.000000 | -4298 | 1.0 | 1 | 1 | 1 | 1 | 0 | 0 | Managers | 3.0 | 2 | 2 | FRIDAY | 14 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | NaN | 0.609989 | 0.184116 | 2.0 | 0.0 | 2.0 | 0.0 | -1.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 32143 | 137268 | 0 | Revolving loans | M | N | Y | 0 | 112500.0 | 180000.0 | 9000.0 | 0.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.005002 | -14063 | -1593 | -6647.000000 | -4723 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Drivers | 2.0 | 3 | 3 | MONDAY | 11 | 0 | 0 | 0 | 1 | 0 | 1 | Business Entity Type 3 | NaN | 0.598895 | 0.665855 | 0.0 | 0.0 | 0.0 | 0.0 | -2576.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 32248 | 137390 | 0 | Cash loans | F | N | N | 0 | 371925.0 | 1762110.0 | 46611.0 | 1575000.0 | NaN | Commercial associate | Higher education | Civil marriage | House / apartment | 0.046220 | -19649 | -1145 | -1367.000000 | -3150 | NaN | 1 | 1 | 1 | 1 | 0 | 1 | NaN | 2.0 | 1 | 1 | TUESDAY | 19 | 1 | 0 | 1 | 1 | 1 | 1 | Business Entity Type 3 | 0.845793 | 0.733560 | 0.360613 | 0.0 | 0.0 | 0.0 | 0.0 | -1004.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 2.0 |
| 32539 | 137716 | 0 | Cash loans | F | N | Y | 0 | 90000.0 | 152820.0 | 8118.0 | 135000.0 | NaN | Pensioner | Secondary / secondary special | Single / not married | House / apartment | 0.025164 | -20801 | 365243 | -8190.000000 | -4085 | NaN | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | FRIDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.052364 | 0.558507 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 |
| 32700 | 137899 | 0 | Cash loans | F | N | Y | 0 | 135000.0 | 755190.0 | 33394.5 | 675000.0 | NaN | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.072508 | -23826 | 365243 | -13805.000000 | -4904 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 1 | 1 | SATURDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.699502 | 0.802745 | 2.0 | 1.0 | 2.0 | 1.0 | -2452.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 33165 | 138428 | 0 | Revolving loans | M | N | Y | 1 | 76500.0 | 225000.0 | 11250.0 | 360000.0 | NaN | Pensioner | Secondary / secondary special | Single / not married | Municipal apartment | 0.031329 | -18442 | -5111 | -11112.000000 | -1979 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Industry: type 9 | NaN | 0.162192 | 0.292588 | 8.0 | 0.0 | 8.0 | 0.0 | -711.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 33182 | 138446 | 0 | Cash loans | F | N | N | 0 | 67500.0 | 364500.0 | 9742.5 | 364500.0 | NaN | State servant | Higher education | Single / not married | With parents | 0.010556 | -8487 | -139 | -3360.000000 | -1176 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 1.0 | 3 | 3 | FRIDAY | 13 | 0 | 0 | 0 | 1 | 1 | 0 | Government | 0.496843 | 0.177936 | 0.750375 | 3.0 | 2.0 | 3.0 | 2.0 | -3.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 34137 | 139554 | 0 | Cash loans | M | Y | N | 0 | 135000.0 | 571446.0 | 15070.5 | 477000.0 | NaN | Commercial associate | Higher education | Married | House / apartment | 0.016612 | -15451 | -2738 | -9486.000000 | -4293 | 8.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 18 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.702993 | 0.709189 | 0.0 | 0.0 | 0.0 | 0.0 | -8.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 34384 | 139842 | 0 | Cash loans | M | N | Y | 0 | 225000.0 | 900000.0 | 41706.0 | 900000.0 | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.072508 | -15830 | -2469 | -8209.000000 | -4326 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Drivers | 2.0 | 1 | 1 | TUESDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Bank | NaN | 0.569696 | 0.726711 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 34815 | 140342 | 0 | Cash loans | F | N | N | 0 | 112500.0 | 375322.5 | 14814.0 | 324000.0 | NaN | Commercial associate | Secondary / secondary special | Single / not married | House / apartment | 0.007020 | -14559 | -2870 | -6222.000000 | -5088 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | WEDNESDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.514157 | 0.332851 | 4.0 | 1.0 | 4.0 | 1.0 | -2.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 34862 | 140397 | 0 | Cash loans | F | N | N | 2 | 166500.0 | 450000.0 | 35554.5 | 450000.0 | NaN | State servant | Higher education | Married | Municipal apartment | 0.009334 | -13543 | -3848 | -1212.000000 | -4190 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 4.0 | 2 | 2 | FRIDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.523335 | 0.390155 | 0.636376 | 0.0 | 0.0 | 0.0 | 0.0 | -2659.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 35928 | 141619 | 0 | Cash loans | F | N | N | 0 | 112500.0 | 904608.0 | 23994.0 | 648000.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.008019 | -17250 | -4483 | -11236.000000 | -722 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | MONDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.359333 | 0.567379 | 0.0 | 0.0 | 0.0 | 0.0 | -2.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 36250 | 141975 | 0 | Revolving loans | F | N | Y | 0 | 90000.0 | 202500.0 | 10125.0 | 0.0 | NaN | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.011657 | -20277 | 365243 | -11951.000000 | -2809 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 1 | 1 | SATURDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.666481 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -129.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 36721 | 142532 | 0 | Revolving loans | M | N | Y | 1 | 202500.0 | 180000.0 | 9000.0 | 0.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.007114 | -13530 | -1654 | -299.000000 | -4380 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 3.0 | 2 | 2 | WEDNESDAY | 16 | 0 | 0 | 0 | 0 | 1 | 1 | Construction | 0.218806 | 0.713971 | 0.340906 | 1.0 | 0.0 | 1.0 | 0.0 | -1511.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 36811 | 142633 | 0 | Cash loans | F | N | N | 0 | 90000.0 | 321574.5 | 17100.0 | 265500.0 | NaN | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.009657 | -8498 | -153 | -3891.000000 | -1168 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 12 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | 0.642437 | 0.543707 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1216.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 37081 | 142951 | 0 | Cash loans | F | N | Y | 0 | 58050.0 | 417024.0 | 18499.5 | 360000.0 | NaN | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.031329 | -23784 | 365243 | -14834.000000 | -4099 | NaN | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | TUESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.259808 | NaN | 3.0 | 0.0 | 3.0 | 0.0 | -420.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 38054 | 144069 | 0 | Cash loans | M | Y | N | 0 | 180000.0 | 1206000.0 | 34690.5 | 1206000.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.016612 | -14956 | -426 | -2834.000000 | -4093 | 10.0 | 1 | 1 | 0 | 1 | 0 | 0 | Drivers | 2.0 | 2 | 2 | TUESDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.211391 | 0.644397 | 0.360613 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 38198 | 144235 | 0 | Cash loans | F | N | Y | 0 | 157500.0 | 360000.0 | 12852.0 | 360000.0 | NaN | Working | Secondary / secondary special | Widow | House / apartment | 0.026392 | -20006 | -1799 | -44.000000 | -3250 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Sales staff | 1.0 | 2 | 2 | THURSDAY | 13 | 0 | 0 | 0 | 1 | 1 | 0 | Self-employed | NaN | 0.666097 | 0.394495 | 0.0 | 0.0 | 0.0 | 0.0 | -1514.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 4.0 |
| 38602 | 144711 | 0 | Cash loans | M | Y | N | 0 | 225000.0 | 879480.0 | 23328.0 | 630000.0 | NaN | Working | Higher education | Married | House / apartment | 0.046220 | -21209 | -5750 | -12193.000000 | -4581 | 12.0 | 1 | 1 | 0 | 1 | 1 | 0 | Security staff | 2.0 | 1 | 1 | TUESDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Kindergarten | NaN | 0.746060 | 0.700184 | 1.0 | 0.0 | 1.0 | 0.0 | -2.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 |
| 38750 | 144882 | 0 | Cash loans | M | Y | Y | 0 | 270000.0 | 570708.0 | 15691.5 | 373500.0 | NaN | Working | Incomplete higher | Married | House / apartment | 0.016612 | -10155 | -305 | -2023.000000 | -2258 | 4.0 | 1 | 1 | 1 | 1 | 1 | 0 | Drivers | 2.0 | 2 | 2 | TUESDAY | 14 | 0 | 0 | 0 | 1 | 1 | 1 | Other | NaN | 0.643143 | 0.109626 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 39230 | 145435 | 0 | Revolving loans | F | N | Y | 0 | 225000.0 | 382500.0 | 19125.0 | 0.0 | NaN | Working | Higher education | Married | House / apartment | 0.010006 | -17922 | -1411 | -652.000000 | -1445 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Core staff | 2.0 | 2 | 2 | FRIDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | School | 0.858466 | 0.660976 | 0.306202 | 0.0 | 0.0 | 0.0 | 0.0 | -598.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 39303 | 145517 | 0 | Cash loans | M | N | N | 0 | 141727.5 | 675000.0 | 18562.5 | 675000.0 | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.018634 | -10871 | -1301 | -3356.000000 | -3551 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 1.0 | 2 | 2 | FRIDAY | 15 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | 0.405517 | 0.577025 | 0.669057 | 2.0 | 1.0 | 2.0 | 0.0 | -2630.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 39544 | 145784 | 0 | Cash loans | M | Y | N | 0 | 216000.0 | 2250000.0 | 64615.5 | 2250000.0 | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.005084 | -10471 | -1278 | -4519.000000 | -3149 | 2.0 | 1 | 1 | 1 | 1 | 0 | 0 | Drivers | 2.0 | 2 | 2 | MONDAY | 12 | 0 | 0 | 0 | 0 | 1 | 1 | Self-employed | NaN | 0.438070 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -3.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 40571 | 146988 | 0 | Revolving loans | F | N | Y | 0 | 202500.0 | 1350000.0 | 67500.0 | 0.0 | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.030755 | -17986 | -4678 | -4504.000000 | -1532 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Sales staff | 2.0 | 2 | 2 | MONDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | NaN | 0.638104 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -569.0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 40969 | 147446 | 0 | Cash loans | F | N | N | 0 | 157500.0 | 1125000.0 | 29808.0 | 1125000.0 | NaN | Working | Higher education | Married | House / apartment | 0.010643 | -21131 | -7513 | -4333.000000 | -4291 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | IT staff | 2.0 | 2 | 2 | SATURDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Other | NaN | 0.763550 | 0.353988 | 0.0 | 0.0 | 0.0 | 0.0 | -3.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 41099 | 147593 | 1 | Revolving loans | F | N | N | 0 | 58500.0 | 202500.0 | 10125.0 | 0.0 | NaN | Working | Secondary / secondary special | Married | Rented apartment | 0.009334 | -15092 | -623 | -7436.000000 | -4505 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Sales staff | 2.0 | 2 | 2 | SATURDAY | 10 | 0 | 0 | 0 | 1 | 1 | 0 | Self-employed | NaN | 0.559127 | 0.401407 | 0.0 | 0.0 | 0.0 | 0.0 | -387.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 41110 | 147604 | 0 | Cash loans | M | N | Y | 0 | 225000.0 | 436500.0 | 19354.5 | 436500.0 | NaN | Pensioner | Secondary / secondary special | Married | House / apartment | 0.030755 | -19533 | 365243 | -1426.000000 | -3084 | NaN | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | MONDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.615851 | 0.385915 | 8.0 | 0.0 | 8.0 | 0.0 | -222.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 41161 | 147655 | 0 | Revolving loans | M | N | Y | 1 | 112500.0 | 202500.0 | 10125.0 | 0.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.008625 | -10766 | -2275 | -7975.000000 | -3402 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Core staff | 3.0 | 2 | 2 | FRIDAY | 11 | 0 | 0 | 0 | 0 | 1 | 1 | Other | NaN | 0.512021 | 0.819318 | 0.0 | 0.0 | 0.0 | 0.0 | -1781.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 41543 | 148099 | 0 | Cash loans | M | N | N | 1 | 160294.5 | 824823.0 | 21888.0 | 688500.0 | NaN | Working | Secondary / secondary special | Married | Rented apartment | 0.031329 | -9658 | -573 | -1980.000000 | -2351 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 3.0 | 2 | 2 | WEDNESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.274296 | 0.503916 | 0.549597 | 0.0 | 0.0 | 0.0 | 0.0 | -6.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 41982 | 148605 | 0 | Revolving loans | M | N | Y | 0 | 450000.0 | 675000.0 | 33750.0 | 0.0 | NaN | Commercial associate | Lower secondary | Unknown | Municipal apartment | 0.015221 | -12396 | -1161 | -3265.000000 | -4489 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Managers | NaN | 2 | 2 | THURSDAY | 15 | 0 | 1 | 1 | 0 | 1 | 1 | Insurance | 0.628564 | 0.700618 | NaN | 3.0 | 0.0 | 3.0 | 0.0 | -876.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 42024 | 148658 | 0 | Revolving loans | F | N | Y | 0 | 67500.0 | 135000.0 | 6750.0 | 0.0 | NaN | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.009175 | -18258 | -1024 | -1795.000000 | -1805 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Industry: type 13 | NaN | 0.525216 | 0.457900 | 0.0 | 0.0 | 0.0 | 0.0 | -759.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 42750 | 149492 | 0 | Cash loans | F | N | N | 0 | 157500.0 | 490536.0 | 15003.0 | 405000.0 | NaN | Pensioner | Higher education | Married | House / apartment | 0.022800 | -23775 | 365243 | -2641.000000 | -3006 | NaN | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.664525 | 0.497372 | 0.746300 | 0.0 | 0.0 | 0.0 | 0.0 | -2.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 42788 | 149537 | 0 | Cash loans | M | Y | Y | 0 | 180000.0 | 500211.0 | 29916.0 | 463500.0 | NaN | Commercial associate | Higher education | Civil marriage | With parents | 0.010032 | -9859 | -773 | -9846.000000 | -2522 | 14.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 2.0 | 2 | 2 | FRIDAY | 5 | 0 | 0 | 0 | 0 | 0 | 0 | Construction | 0.763645 | 0.402034 | 0.396220 | 2.0 | 0.0 | 2.0 | 0.0 | -708.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 43209 | 150015 | 0 | Cash loans | M | Y | N | 0 | 270000.0 | 781920.0 | 23836.5 | 675000.0 | NaN | Pensioner | Higher education | Married | House / apartment | 0.018801 | -23942 | 365243 | -54.000000 | -4087 | 17.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | SUNDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.452187 | 0.197475 | 0.0 | 0.0 | 0.0 | 0.0 | -1300.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 43374 | 150210 | 0 | Cash loans | F | Y | N | 0 | 157500.0 | 755190.0 | 28116.0 | 675000.0 | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.008575 | -14809 | -252 | -2356.000000 | -2588 | 7.0 | 1 | 1 | 0 | 1 | 1 | 0 | Sales staff | 2.0 | 2 | 2 | THURSDAY | 17 | 0 | 0 | 0 | 1 | 1 | 0 | Business Entity Type 3 | 0.433849 | 0.631218 | 0.588488 | 1.0 | 0.0 | 1.0 | 0.0 | -5.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 43566 | 150433 | 0 | Cash loans | F | N | N | 1 | 90000.0 | 785398.5 | 30861.0 | 702000.0 | NaN | Commercial associate | Higher education | Married | House / apartment | 0.011703 | -15993 | -927 | -7736.000000 | -4268 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | High skill tech staff | 3.0 | 2 | 2 | MONDAY | 16 | 0 | 0 | 0 | 1 | 1 | 0 | Business Entity Type 3 | NaN | 0.677834 | 0.368969 | 0.0 | 0.0 | 0.0 | 0.0 | -2.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 43630 | 150507 | 0 | Revolving loans | M | N | Y | 0 | 306000.0 | 1350000.0 | 67500.0 | 0.0 | NaN | Working | Higher education | Civil marriage | House / apartment | 0.007330 | -13197 | -2062 | -619.000000 | -4038 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Managers | 2.0 | 2 | 2 | MONDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.346926 | 0.697526 | 0.399676 | 1.0 | 0.0 | 1.0 | 0.0 | -306.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 43757 | 150661 | 0 | Cash loans | M | N | N | 0 | 351000.0 | 521280.0 | 19854.0 | 450000.0 | NaN | Commercial associate | Higher education | Civil marriage | House / apartment | 0.030755 | -17916 | -912 | -2205.000000 | -1460 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | WEDNESDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Industry: type 7 | NaN | 0.605474 | 0.365617 | 1.0 | 1.0 | 1.0 | 1.0 | -2.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 44047 | 151013 | 0 | Cash loans | M | N | N | 0 | 166500.0 | 953460.0 | 63508.5 | 900000.0 | NaN | Working | Higher education | Married | House / apartment | 0.035792 | -20001 | -137 | -1234.000000 | -3551 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 2.0 | 2 | 2 | TUESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | NaN | 0.261413 | 0.588488 | 0.0 | 0.0 | 0.0 | 0.0 | -2.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 44164 | 151161 | 0 | Cash loans | F | N | Y | 0 | 382500.0 | 765000.0 | 39739.5 | 765000.0 | NaN | Commercial associate | Higher education | Married | House / apartment | 0.046220 | -15145 | -2132 | -291.000000 | -4529 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Managers | 2.0 | 1 | 1 | WEDNESDAY | 15 | 0 | 1 | 1 | 0 | 0 | 0 | Business Entity Type 3 | 0.760719 | 0.735066 | 0.235311 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 44898 | 152012 | 0 | Cash loans | M | N | N | 1 | 121500.0 | 668304.0 | 24894.0 | 540000.0 | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.008625 | -11231 | -921 | -2423.000000 | -3674 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Security staff | 3.0 | 2 | 2 | SATURDAY | 11 | 0 | 1 | 1 | 1 | 0 | 0 | Business Entity Type 3 | 0.061092 | 0.607301 | 0.584990 | 0.0 | 0.0 | 0.0 | 0.0 | -3.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 44973 | 152097 | 0 | Cash loans | F | N | N | 0 | 108000.0 | 1166724.0 | 30906.0 | 913500.0 | NaN | Working | Secondary / secondary special | Married | With parents | 0.018850 | -15038 | -8457 | -9024.000000 | -4537 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | High skill tech staff | 2.0 | 2 | 2 | MONDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Industry: type 7 | NaN | 0.684265 | 0.574447 | 1.0 | 0.0 | 1.0 | 0.0 | -401.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 45184 | 152337 | 0 | Cash loans | F | N | N | 0 | 112500.0 | 467257.5 | 14296.5 | 328500.0 | NaN | Working | Secondary / secondary special | Married | Municipal apartment | 0.046220 | -19584 | -2646 | -2075.000000 | -3075 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 2.0 | 1 | 1 | THURSDAY | 9 | 0 | 1 | 1 | 0 | 0 | 0 | Transport: type 2 | NaN | 0.655422 | 0.591977 | 8.0 | 1.0 | 8.0 | 1.0 | -7.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 45657 | 152889 | 0 | Revolving loans | M | N | Y | 2 | 112500.0 | 135000.0 | 6750.0 | 0.0 | NaN | State servant | Secondary / secondary special | Married | House / apartment | 0.016612 | -13716 | -1466 | -8600.000000 | -4045 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Laborers | 4.0 | 2 | 2 | MONDAY | 12 | 0 | 0 | 0 | 0 | 1 | 1 | School | NaN | 0.160135 | 0.617826 | 0.0 | 0.0 | 0.0 | 0.0 | -577.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 45969 | 153264 | 0 | Cash loans | M | Y | N | 0 | 220500.0 | 675000.0 | 25146.0 | 675000.0 | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.026392 | -8731 | -848 | -8731.000000 | -1405 | 7.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 1.0 | 2 | 2 | MONDAY | 14 | 0 | 0 | 0 | 1 | 1 | 0 | Trade: type 2 | NaN | 0.481871 | 0.046951 | 3.0 | 0.0 | 3.0 | 0.0 | -3.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 46032 | 153335 | 0 | Cash loans | F | N | Y | 1 | 202500.0 | 835380.0 | 31950.0 | 675000.0 | NaN | Working | Higher education | Married | House / apartment | 0.006852 | -16568 | -4168 | -5607.000000 | -101 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 3.0 | 3 | 3 | FRIDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | School | NaN | 0.345565 | 0.612704 | 3.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 46035 | 153338 | 0 | Cash loans | F | Y | N | 0 | 144000.0 | 675000.0 | 20596.5 | 675000.0 | NaN | Pensioner | Higher education | Married | House / apartment | 0.010500 | -18762 | 365243 | -6730.000000 | -2276 | 12.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 3 | 3 | THURSDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.700912 | 0.611237 | 0.612704 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 46136 | 153447 | 0 | Cash loans | F | N | N | 0 | 90000.0 | 691020.0 | 19129.5 | 495000.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.046220 | -19425 | -1654 | -1643.000000 | -2946 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 1 | 1 | MONDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Medicine | 0.558619 | 0.730028 | 0.695622 | 2.0 | 0.0 | 2.0 | 0.0 | -410.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 46477 | 153838 | 0 | Cash loans | M | N | N | 0 | 135000.0 | 1006920.0 | 38353.5 | 900000.0 | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.008230 | -13607 | -1021 | -2680.000000 | -4466 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 10 | 0 | 0 | 0 | 0 | 1 | 1 | Government | NaN | 0.526028 | 0.715103 | 3.0 | 1.0 | 3.0 | 1.0 | -3.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 46731 | 154131 | 0 | Cash loans | F | N | N | 1 | 135000.0 | 543204.0 | 15066.0 | 355500.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.008625 | -10310 | -2231 | -117.000000 | -2058 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 3.0 | 2 | 2 | TUESDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.331609 | 0.060425 | 0.617826 | 5.0 | 2.0 | 5.0 | 1.0 | -46.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 3.0 |
| 46994 | 154433 | 0 | Cash loans | M | N | N | 0 | 450000.0 | 585000.0 | 29718.0 | 585000.0 | NaN | Commercial associate | Higher education | Married | House / apartment | 0.031329 | -12703 | -3239 | -4069.000000 | -4511 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Core staff | 2.0 | 2 | 2 | WEDNESDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Medicine | 0.452832 | 0.789094 | 0.694093 | 0.0 | 0.0 | 0.0 | 0.0 | -2.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 47515 | 155033 | 0 | Cash loans | F | N | N | 0 | 67500.0 | 397881.0 | 12622.5 | 328500.0 | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.018209 | -20808 | -3642 | -8375.000000 | -4200 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Cooking staff | 2.0 | 3 | 3 | THURSDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Medicine | 0.682222 | 0.457132 | 0.746300 | 0.0 | 0.0 | 0.0 | 0.0 | -1771.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 47627 | 155169 | 0 | Revolving loans | F | N | Y | 0 | 63000.0 | 135000.0 | 6750.0 | 0.0 | NaN | Pensioner | Secondary / secondary special | Married | House / apartment | 0.031329 | -21555 | 365243 | -10745.000000 | -3935 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.652740 | 0.754406 | 0.0 | 0.0 | 0.0 | 0.0 | -1245.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 48235 | 155863 | 0 | Cash loans | F | Y | Y | 0 | 72000.0 | 276277.5 | 11835.0 | 238500.0 | NaN | Pensioner | Secondary / secondary special | Single / not married | House / apartment | 0.016612 | -24035 | 365243 | -7743.000000 | -5068 | 15.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | WEDNESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.633293 | 0.735221 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 48545 | 156218 | 1 | Cash loans | M | N | Y | 0 | 157500.0 | 584766.0 | 22401.0 | 472500.0 | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.022625 | -12130 | -342 | -3632.000000 | -4414 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | MONDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | 0.252335 | 0.295096 | NaN | 2.0 | 0.0 | 2.0 | 0.0 | -33.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 48612 | 156297 | 0 | Cash loans | M | N | N | 0 | 234000.0 | 441931.5 | 31558.5 | 409500.0 | NaN | Pensioner | Secondary / secondary special | Married | House / apartment | 0.018801 | -24814 | 365243 | -4952.000000 | -4575 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | SATURDAY | 7 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.550864 | 0.684828 | 0.0 | 0.0 | 0.0 | 0.0 | -3477.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 48744 | 156450 | 0 | Cash loans | F | N | N | 1 | 67500.0 | 314100.0 | 12091.5 | 225000.0 | NaN | State servant | Higher education | Single / not married | House / apartment | 0.031329 | -13701 | -186 | -6550.000000 | -4557 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 2.0 | 2 | 2 | TUESDAY | 14 | 0 | 0 | 0 | 1 | 1 | 1 | Government | 0.817786 | 0.555000 | 0.678568 | 5.0 | 0.0 | 5.0 | 0.0 | -1.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 49611 | 157431 | 1 | Cash loans | F | Y | N | 0 | 157500.0 | 1042560.0 | 62212.5 | 900000.0 | NaN | Commercial associate | Secondary / secondary special | Married | With parents | 0.072508 | -10715 | -2973 | -5399.000000 | -3369 | 20.0 | 1 | 1 | 0 | 1 | 1 | 0 | HR staff | 2.0 | 1 | 1 | TUESDAY | 19 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | 0.107646 | 0.622230 | 0.347418 | 1.0 | 1.0 | 1.0 | 1.0 | -1.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 49994 | 157871 | 0 | Cash loans | F | N | N | 0 | 180000.0 | 1206000.0 | 45936.0 | 1206000.0 | NaN | Working | Higher education | Single / not married | House / apartment | 0.035792 | -10667 | -285 | -2521.000000 | -3333 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Waiters/barmen staff | 1.0 | 2 | 2 | WEDNESDAY | 11 | 0 | 0 | 0 | 0 | 1 | 1 | Restaurant | 0.426359 | 0.493770 | 0.634706 | 0.0 | 0.0 | 0.0 | 0.0 | -14.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 50122 | 158028 | 0 | Cash loans | M | Y | N | 1 | 292500.0 | 993082.5 | 38857.5 | 913500.0 | NaN | Working | Secondary / secondary special | Married | With parents | 0.072508 | -11949 | -1279 | -1532.000000 | -1622 | 7.0 | 1 | 1 | 0 | 1 | 1 | 0 | Drivers | 3.0 | 1 | 1 | TUESDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.691686 | 0.502878 | 0.0 | 0.0 | 0.0 | 0.0 | -1131.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 50126 | 158032 | 0 | Cash loans | F | N | Y | 0 | 67500.0 | 661500.0 | 25668.0 | 661500.0 | NaN | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.014464 | -22828 | 365243 | -14006.000000 | -4313 | NaN | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | TUESDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.582608 | NaN | 2.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 50172 | 158085 | 0 | Cash loans | F | N | N | 0 | 90000.0 | 673875.0 | 17905.5 | 562500.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.025164 | -15769 | -1757 | -5117.000000 | -5792 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 2.0 | 2 | 2 | SATURDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Trade: type 7 | 0.373531 | 0.621711 | 0.652897 | 0.0 | 0.0 | 0.0 | 0.0 | -2.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 50540 | 158525 | 1 | Revolving loans | F | N | Y | 0 | 90000.0 | 270000.0 | 13500.0 | 0.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.031329 | -8160 | -279 | -5946.000000 | -224 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.190088 | 0.285180 | 6.0 | 2.0 | 5.0 | 1.0 | -194.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 50787 | 158813 | 0 | Cash loans | M | Y | N | 1 | 135000.0 | 299772.0 | 15651.0 | 247500.0 | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.031329 | -13319 | -4606 | -2098.000000 | -4460 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Drivers | 3.0 | 2 | 2 | MONDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | 0.386808 | 0.623078 | 0.622922 | 8.0 | 0.0 | 8.0 | 0.0 | -1.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 50798 | 158826 | 0 | Cash loans | F | N | N | 0 | 157500.0 | 1350000.0 | 35743.5 | 1350000.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.026392 | -17568 | -5420 | -7027.000000 | -1106 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Accountants | 2.0 | 2 | 2 | TUESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.770411 | 0.570554 | 0.771362 | 8.0 | 0.0 | 8.0 | 0.0 | -874.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 |
| 51046 | 159111 | 0 | Cash loans | F | N | Y | 1 | 180000.0 | 942300.0 | 27004.5 | 675000.0 | NaN | Commercial associate | Higher education | Married | House / apartment | 0.032561 | -12810 | -2327 | -744.000000 | -750 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 3.0 | 1 | 1 | WEDNESDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.572751 | 0.642340 | 0.466864 | 1.0 | 0.0 | 1.0 | 0.0 | -63.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 51052 | 159119 | 0 | Cash loans | M | Y | N | 0 | 587250.0 | 592560.0 | 22698.0 | 450000.0 | NaN | Commercial associate | Higher education | Married | House / apartment | 0.072508 | -11818 | -147 | -5943.000000 | -3980 | 4.0 | 1 | 1 | 0 | 1 | 0 | 0 | Managers | 2.0 | 1 | 1 | FRIDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Bank | NaN | 0.520322 | 0.429424 | 0.0 | 0.0 | 0.0 | 0.0 | -4.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 |
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| 265007 | 406881 | 0 | Cash loans | F | N | N | 0 | 81000.0 | 381528.0 | 12186.0 | 315000.0 | NaN | Pensioner | Secondary / secondary special | Widow | Office apartment | 0.046220 | -23713 | 365243 | -17783.000000 | -3910 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 1 | 1 | TUESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.698950 | NaN | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 265644 | 407687 | 0 | Cash loans | M | Y | N | 0 | 135000.0 | 1078200.0 | 28570.5 | 900000.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.022800 | -19025 | -923 | -451.000000 | -2568 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | Cleaning staff | 2.0 | 2 | 2 | SATURDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 1 | NaN | 0.778668 | 0.522697 | 0.0 | 0.0 | 0.0 | 0.0 | -2.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 265719 | 407798 | 0 | Cash loans | F | N | Y | 0 | 180000.0 | 728460.0 | 41949.0 | 675000.0 | NaN | Pensioner | Higher education | Separated | House / apartment | 0.005313 | -24579 | 365243 | -2884.000000 | -1273 | NaN | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | WEDNESDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.541629 | 0.581484 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 266157 | 408317 | 0 | Cash loans | M | Y | N | 1 | 450000.0 | 1003500.0 | 26599.5 | 1003500.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.035792 | -16535 | -1957 | -4472.000000 | -74 | 3.0 | 1 | 1 | 0 | 1 | 1 | 0 | Laborers | 3.0 | 2 | 2 | SUNDAY | 11 | 0 | 0 | 0 | 0 | 1 | 1 | Construction | 0.705087 | 0.621094 | 0.574447 | 1.0 | 0.0 | 1.0 | 0.0 | -3.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 266216 | 408394 | 0 | Cash loans | F | N | Y | 0 | 135000.0 | 547344.0 | 17608.5 | 472500.0 | NaN | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.008230 | -23485 | 365243 | -1496.000000 | -2940 | NaN | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | TUESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.152324 | 0.235311 | 1.0 | 0.0 | 1.0 | 0.0 | -6.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 266313 | 408522 | 0 | Cash loans | M | N | Y | 0 | 112500.0 | 220662.0 | 21627.0 | 207000.0 | NaN | Pensioner | Incomplete higher | Married | House / apartment | 0.022625 | -25112 | 365243 | -11009.000000 | -4051 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.701964 | 0.554947 | 0.0 | 0.0 | 0.0 | 0.0 | -1082.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 266366 | 408583 | 0 | Cash loans | F | Y | N | 2 | 157500.0 | 455040.0 | 12132.0 | 360000.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.031329 | -10116 | -1256 | -10116.041667 | -2715 | 9.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 4.0 | 2 | 2 | TUESDAY | 14 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | 0.594286 | 0.434526 | 0.256706 | 1.0 | 0.0 | 1.0 | 0.0 | -1569.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 7.0 |
| 266419 | 408646 | 0 | Cash loans | M | Y | N | 0 | 540000.0 | 2250000.0 | 68350.5 | 2250000.0 | NaN | Working | Higher education | Married | House / apartment | 0.035792 | -14783 | -1422 | -1548.000000 | -5591 | 2.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | SUNDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Realtor | 0.451750 | 0.616601 | 0.695622 | 2.0 | 0.0 | 2.0 | 0.0 | -1.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 266637 | 408900 | 0 | Cash loans | F | N | N | 1 | 90000.0 | 580500.0 | 16092.0 | 580500.0 | NaN | Working | Higher education | Married | House / apartment | 0.018029 | -10893 | -226 | -293.000000 | -1949 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 3.0 | 3 | 2 | FRIDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Bank | 0.298024 | 0.478694 | 0.218859 | 2.0 | 0.0 | 2.0 | 0.0 | -1530.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 266741 | 409025 | 0 | Cash loans | F | Y | N | 0 | 81000.0 | 675000.0 | 20466.0 | 675000.0 | NaN | Pensioner | Higher education | Married | House / apartment | 0.022800 | -20218 | 365243 | -999.000000 | -3706 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.750656 | 0.715207 | 0.828729 | 0.0 | 0.0 | 0.0 | 0.0 | -1351.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 |
| 266831 | 409135 | 0 | Cash loans | F | N | N | 0 | 247500.0 | 942300.0 | 26041.5 | 675000.0 | NaN | Commercial associate | Higher education | Single / not married | Co-op apartment | 0.046220 | -9336 | -818 | -3527.000000 | -1983 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 1.0 | 1 | 1 | TUESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | NaN | 0.609942 | 0.567379 | 0.0 | 0.0 | 0.0 | 0.0 | -5.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 267076 | 409439 | 0 | Cash loans | F | N | Y | 0 | 32400.0 | 270000.0 | 7249.5 | 270000.0 | NaN | State servant | Secondary / secondary special | Married | House / apartment | 0.015221 | -19200 | -5637 | -4718.000000 | -2760 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Managers | 2.0 | 2 | 2 | SATURDAY | 11 | 0 | 0 | 0 | 0 | 1 | 1 | Medicine | NaN | 0.626549 | 0.230159 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 267302 | 409698 | 0 | Revolving loans | F | N | Y | 0 | 67500.0 | 180000.0 | 9000.0 | 0.0 | NaN | Working | Secondary / secondary special | Widow | House / apartment | 0.008474 | -18120 | -915 | -8162.000000 | -919 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 1.0 | 2 | 2 | FRIDAY | 13 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | NaN | 0.669807 | 0.651260 | 1.0 | 0.0 | 1.0 | 0.0 | -628.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 |
| 267335 | 409733 | 0 | Revolving loans | F | N | N | 0 | 135000.0 | 180000.0 | 9000.0 | 0.0 | NaN | Working | Secondary / secondary special | Single / not married | With parents | 0.028663 | -8869 | -1601 | -1379.000000 | -1533 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Waiters/barmen staff | 1.0 | 2 | 2 | THURSDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Restaurant | NaN | 0.565440 | NaN | 9.0 | 0.0 | 9.0 | 0.0 | 0.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 267367 | 409768 | 0 | Revolving loans | F | N | Y | 0 | 112500.0 | 135000.0 | 6750.0 | 0.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.007114 | -15667 | -2028 | -5495.000000 | -5498 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Core staff | 2.0 | 2 | 2 | FRIDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Government | NaN | 0.527173 | 0.706205 | 2.0 | 2.0 | 2.0 | 2.0 | -715.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 267573 | 410005 | 0 | Cash loans | F | Y | N | 2 | 202500.0 | 416052.0 | 12613.5 | 292500.0 | NaN | Working | Higher education | Married | House / apartment | 0.030755 | -10932 | -2675 | -763.000000 | -20 | 17.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 4.0 | 2 | 2 | TUESDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Trade: type 3 | 0.417943 | 0.537929 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -275.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 267745 | 410214 | 0 | Cash loans | F | Y | N | 1 | 202500.0 | 781920.0 | 24682.5 | 675000.0 | NaN | Commercial associate | Higher education | Civil marriage | House / apartment | 0.032561 | -12941 | -147 | -70.000000 | -3022 | 6.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 3.0 | 1 | 1 | SATURDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.679926 | 0.813917 | 3.0 | 0.0 | 3.0 | 0.0 | -964.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 1.0 |
| 267813 | 410294 | 0 | Cash loans | F | N | Y | 1 | 135000.0 | 687600.0 | 19836.0 | 450000.0 | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.006852 | -12092 | -179 | -5908.000000 | -1749 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Realty agents | 2.0 | 3 | 3 | MONDAY | 7 | 0 | 0 | 0 | 1 | 0 | 1 | Services | 0.516443 | 0.186684 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 267873 | 410381 | 1 | Cash loans | M | Y | N | 0 | 135000.0 | 412560.0 | 11952.0 | 270000.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.020713 | -21423 | -7426 | -8408.000000 | -4658 | 12.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 3 | 3 | MONDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Transport: type 2 | NaN | 0.600386 | 0.111042 | 3.0 | 1.0 | 3.0 | 1.0 | -3.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 267969 | 410496 | 0 | Cash loans | M | Y | N | 0 | 81000.0 | 646920.0 | 17194.5 | 540000.0 | NaN | State servant | Higher education | Married | House / apartment | 0.020246 | -15676 | -7016 | -831.000000 | -5139 | 8.0 | 1 | 1 | 0 | 1 | 0 | 0 | Drivers | 2.0 | 3 | 3 | FRIDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Security Ministries | NaN | 0.083731 | 0.468660 | 0.0 | 0.0 | 0.0 | 0.0 | -4.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 |
| 268321 | 410920 | 0 | Cash loans | F | Y | N | 2 | 112500.0 | 414792.0 | 15502.5 | 315000.0 | NaN | State servant | Higher education | Married | House / apartment | 0.025164 | -10277 | -1529 | -1102.000000 | -2672 | 14.0 | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 4.0 | 2 | 2 | THURSDAY | 15 | 0 | 0 | 0 | 0 | 1 | 1 | School | NaN | 0.188905 | 0.513694 | 4.0 | 1.0 | 4.0 | 1.0 | -4.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 268334 | 410935 | 0 | Cash loans | F | N | N | 1 | 202500.0 | 343800.0 | 10921.5 | 225000.0 | NaN | State servant | Higher education | Married | House / apartment | 0.046220 | -13898 | -1198 | -3356.000000 | -3400 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | High skill tech staff | 3.0 | 1 | 1 | THURSDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Housing | 0.384090 | 0.725527 | 0.184116 | 1.0 | 0.0 | 1.0 | 0.0 | -6.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 268385 | 411002 | 0 | Cash loans | F | N | N | 0 | 76500.0 | 263686.5 | 13783.5 | 238500.0 | NaN | Working | Higher education | Single / not married | House / apartment | 0.009630 | -10839 | -2110 | -5564.000000 | -3189 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 1.0 | 2 | 2 | FRIDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.441533 | 0.556673 | 0.634706 | 2.0 | 0.0 | 2.0 | 0.0 | -753.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 268408 | 411040 | 0 | Cash loans | F | N | N | 1 | 157500.0 | 808650.0 | 21460.5 | 675000.0 | NaN | Commercial associate | Secondary / secondary special | Separated | House / apartment | 0.016612 | -13922 | -122 | -8047.000000 | -5093 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Laborers | 2.0 | 2 | 2 | SATURDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.569680 | 0.766234 | 7.0 | 2.0 | 7.0 | 2.0 | -4.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 268427 | 411063 | 0 | Cash loans | F | N | Y | 0 | 90000.0 | 566055.0 | 15565.5 | 472500.0 | NaN | Working | Secondary / secondary special | Married | Office apartment | 0.025164 | -19806 | -778 | -2632.000000 | -3349 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 2.0 | 2 | 2 | MONDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.694870 | 0.228598 | 0.549597 | 9.0 | 0.0 | 9.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 268566 | 411233 | 0 | Cash loans | M | Y | N | 2 | 150952.5 | 473760.0 | 44424.0 | 450000.0 | NaN | Commercial associate | Higher education | Married | House / apartment | 0.046220 | -15602 | -1042 | -6163.000000 | -3930 | 2.0 | 1 | 1 | 1 | 1 | 0 | 0 | Core staff | 4.0 | 1 | 1 | WEDNESDAY | 12 | 1 | 1 | 0 | 1 | 1 | 0 | Business Entity Type 3 | NaN | 0.506502 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -317.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 |
| 268640 | 411320 | 0 | Cash loans | M | N | N | 0 | 60750.0 | 585000.0 | 17865.0 | 585000.0 | NaN | Pensioner | Secondary / secondary special | Married | House / apartment | 0.028663 | -23704 | 365243 | -11647.000000 | -4507 | NaN | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.605391 | 0.763640 | 0.0 | 0.0 | 0.0 | 0.0 | -2.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 268946 | 411666 | 0 | Cash loans | M | Y | N | 0 | 261000.0 | 1133748.0 | 30037.5 | 990000.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.018634 | -14805 | -762 | -8954.000000 | -4733 | 8.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | SATURDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.109489 | 0.755757 | 0.508287 | 0.0 | 0.0 | 0.0 | 0.0 | -315.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 269009 | 411743 | 0 | Cash loans | M | N | Y | 0 | 157500.0 | 288562.5 | 29254.5 | 261000.0 | NaN | Working | Higher education | Single / not married | House / apartment | 0.007020 | -9068 | -1434 | -4.000000 | -1479 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | MONDAY | 17 | 0 | 0 | 0 | 0 | 1 | 1 | Transport: type 2 | 0.700810 | 0.452496 | 0.713631 | 0.0 | 0.0 | 0.0 | 0.0 | -66.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 |
| 269012 | 411747 | 0 | Cash loans | F | Y | N | 2 | 148500.0 | 781920.0 | 23706.0 | 675000.0 | NaN | Commercial associate | Higher education | Married | House / apartment | 0.024610 | -12681 | -588 | -231.000000 | -1750 | 8.0 | 1 | 1 | 0 | 1 | 1 | 0 | Managers | 4.0 | 2 | 2 | TUESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | NaN | 0.551757 | 0.326475 | 0.0 | 0.0 | 0.0 | 0.0 | -825.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 269015 | 411756 | 0 | Cash loans | F | Y | N | 0 | 270000.0 | 675000.0 | 30631.5 | 675000.0 | NaN | Working | Higher education | Married | Rented apartment | 0.014520 | -14902 | -5350 | -8156.000000 | -1128 | 6.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | WEDNESDAY | 12 | 0 | 1 | 1 | 0 | 1 | 1 | Kindergarten | NaN | 0.605845 | 0.204423 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 269051 | 411794 | 0 | Cash loans | F | N | N | 0 | 90000.0 | 677664.0 | 20673.0 | 585000.0 | NaN | Pensioner | Secondary / secondary special | Single / not married | House / apartment | 0.031329 | -20683 | 365243 | -11074.000000 | -4228 | NaN | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | MONDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.561126 | 0.363945 | 2.0 | 0.0 | 2.0 | 0.0 | -1.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 269115 | 411874 | 0 | Cash loans | F | Y | N | 0 | 382500.0 | 1540305.0 | 40761.0 | 1206000.0 | NaN | Working | Higher education | Married | House / apartment | 0.030755 | -12872 | -1286 | -971.000000 | -1833 | 29.0 | 1 | 1 | 0 | 1 | 0 | 0 | HR staff | 2.0 | 2 | 2 | FRIDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Agriculture | 0.133414 | 0.555847 | 0.415347 | 4.0 | 0.0 | 3.0 | 0.0 | -3.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 269142 | 411902 | 0 | Cash loans | F | N | N | 2 | 247500.0 | 1256400.0 | 33273.0 | 900000.0 | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.046220 | -15920 | -248 | -3405.000000 | -4935 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Medicine staff | 4.0 | 1 | 1 | TUESDAY | 12 | 0 | 1 | 1 | 0 | 0 | 0 | Police | 0.515783 | 0.723125 | 0.258084 | 0.0 | 0.0 | 0.0 | 0.0 | -3.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 269255 | 412041 | 0 | Cash loans | M | Y | N | 2 | 225000.0 | 687600.0 | 19039.5 | 450000.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.006008 | -15442 | -133 | -3549.000000 | -3934 | 12.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 4.0 | 2 | 2 | MONDAY | 10 | 0 | 1 | 1 | 0 | 1 | 1 | Business Entity Type 3 | 0.731675 | 0.705666 | 0.803885 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 269291 | 412079 | 0 | Revolving loans | M | N | Y | 1 | 67500.0 | 135000.0 | 6750.0 | 0.0 | NaN | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.009657 | -15055 | -3476 | -8984.000000 | -4158 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 3.0 | 2 | 2 | FRIDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.475808 | 0.382502 | 1.0 | 0.0 | 1.0 | 0.0 | -442.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 269528 | 412350 | 0 | Cash loans | M | Y | Y | 0 | 112500.0 | 420912.0 | 11574.0 | 333000.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.019689 | -18279 | -3697 | -6320.000000 | -1742 | 14.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | MONDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.538592 | 0.621226 | 3.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 269596 | 412435 | 0 | Cash loans | F | N | N | 0 | 135000.0 | 755190.0 | 48960.0 | 675000.0 | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.022625 | -17892 | -5109 | -9771.000000 | -1132 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.759208 | 0.679207 | 0.540654 | 6.0 | 0.0 | 6.0 | 0.0 | -8.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 269855 | 412751 | 0 | Cash loans | F | N | N | 1 | 135000.0 | 553806.0 | 35937.0 | 495000.0 | NaN | State servant | Higher education | Married | House / apartment | 0.032561 | -10763 | -3778 | -4973.000000 | -2054 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 3.0 | 1 | 1 | MONDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.613354 | 0.704852 | 0.607557 | 2.0 | 1.0 | 2.0 | 1.0 | -2602.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 6.0 | 0.0 | 0.0 |
| 269896 | 412804 | 0 | Cash loans | F | N | N | 1 | 387000.0 | 2220259.5 | 61186.5 | 1984500.0 | NaN | State servant | Higher education | Single / not married | House / apartment | 0.028663 | -17973 | -314 | -11110.000000 | -1526 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Medicine | NaN | 0.609224 | 0.353988 | 5.0 | 1.0 | 5.0 | 0.0 | -1.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 269912 | 412820 | 0 | Cash loans | F | N | N | 0 | 136800.0 | 1506816.0 | 47313.0 | 1350000.0 | NaN | Commercial associate | Incomplete higher | Widow | House / apartment | 0.031329 | -17172 | -538 | -8700.000000 | -695 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | TUESDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.625537 | 0.646848 | 0.607557 | 0.0 | 0.0 | 0.0 | 0.0 | -2.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 269968 | 412882 | 0 | Cash loans | M | N | N | 0 | 337500.0 | 450000.0 | 26928.0 | 450000.0 | NaN | Commercial associate | Higher education | Married | House / apartment | 0.072508 | -13973 | -2780 | -314.000000 | -4704 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 2.0 | 1 | 1 | THURSDAY | 18 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.596383 | 0.717920 | 0.621226 | 4.0 | 0.0 | 4.0 | 0.0 | -4.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 269999 | 412919 | 0 | Cash loans | F | N | Y | 0 | 180000.0 | 281493.0 | 10849.5 | 243000.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.024610 | -12120 | -4297 | -995.000000 | -2924 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.509093 | 0.642279 | 0.337673 | 3.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 270084 | 413010 | 0 | Cash loans | M | N | N | 0 | 76500.0 | 343800.0 | 10552.5 | 225000.0 | NaN | Commercial associate | Incomplete higher | Separated | House / apartment | 0.019689 | -14910 | -832 | -272.000000 | -4334 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 1.0 | 2 | 2 | MONDAY | 7 | 0 | 0 | 0 | 0 | 0 | 0 | Transport: type 2 | NaN | 0.049962 | 0.706205 | 1.0 | 0.0 | 1.0 | 0.0 | -1.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 270503 | 413521 | 0 | Cash loans | F | Y | N | 0 | 450000.0 | 1436850.0 | 39640.5 | 1125000.0 | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.014464 | -15233 | -3186 | -66.000000 | -4571 | 12.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 1.0 | 2 | 2 | THURSDAY | 7 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.662293 | 0.685648 | 0.796973 | 0.0 | 0.0 | 0.0 | 0.0 | -2272.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 |
| 270612 | 413670 | 0 | Cash loans | M | Y | N | 0 | 337500.0 | 1381113.0 | 38110.5 | 1206000.0 | NaN | Working | Higher education | Married | House / apartment | 0.008474 | -16622 | -1243 | -2071.000000 | -155 | 13.0 | 1 | 1 | 0 | 1 | 1 | 0 | Security staff | 2.0 | 2 | 2 | SATURDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Security | 0.709922 | 0.548640 | 0.215182 | 0.0 | 0.0 | 0.0 | 0.0 | -3.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 270616 | 413674 | 1 | Revolving loans | F | N | Y | 0 | 99000.0 | 337500.0 | 16875.0 | 0.0 | NaN | Pensioner | Secondary / secondary special | Married | House / apartment | 0.030755 | -21827 | 365243 | -3582.000000 | -4737 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.647882 | 0.528093 | 0.0 | 0.0 | 0.0 | 0.0 | -1915.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 271074 | 414243 | 0 | Revolving loans | F | N | Y | 0 | 157500.0 | 810000.0 | 40500.0 | 0.0 | NaN | Working | Secondary / secondary special | Single / not married | Municipal apartment | 0.024610 | -14617 | -588 | -8712.000000 | -4499 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Sales staff | 1.0 | 2 | 2 | TUESDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Transport: type 4 | 0.669794 | 0.469714 | 0.535276 | 4.0 | 0.0 | 4.0 | 0.0 | -995.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 271201 | 414403 | 0 | Cash loans | F | N | N | 0 | 108000.0 | 512338.5 | 15664.5 | 423000.0 | NaN | Commercial associate | Higher education | Civil marriage | House / apartment | 0.006629 | -8533 | -138 | -3404.000000 | -1215 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 2.0 | 2 | 2 | SATURDAY | 11 | 0 | 0 | 0 | 0 | 1 | 1 | Self-employed | 0.450081 | 0.673651 | 0.634706 | 1.0 | 0.0 | 1.0 | 0.0 | -4.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 271339 | 414555 | 0 | Revolving loans | F | N | Y | 0 | 112500.0 | 270000.0 | 13500.0 | 0.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.018850 | -13052 | -1837 | -3207.000000 | -4613 | NaN | 1 | 1 | 1 | 1 | 1 | 1 | High skill tech staff | 2.0 | 2 | 2 | TUESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Housing | NaN | 0.619842 | 0.631355 | 0.0 | 0.0 | 0.0 | 0.0 | -629.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 271392 | 414624 | 0 | Cash loans | M | Y | N | 0 | 315000.0 | 630000.0 | 58297.5 | 630000.0 | NaN | Working | Higher education | Civil marriage | House / apartment | 0.010643 | -14697 | -1150 | -1028.000000 | -4875 | 2.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 1 | NaN | 0.679236 | 0.626304 | 0.0 | 0.0 | 0.0 | 0.0 | -5.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 271396 | 414628 | 0 | Cash loans | F | N | N | 0 | 162000.0 | 263686.5 | 13522.5 | 238500.0 | NaN | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.010147 | -23960 | 365243 | -5080.000000 | -4189 | NaN | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | THURSDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.602865 | 0.490258 | 2.0 | 0.0 | 2.0 | 0.0 | -3.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 271405 | 414638 | 0 | Cash loans | M | N | N | 1 | 150750.0 | 819432.0 | 21744.0 | 684000.0 | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.007020 | -9960 | -868 | -9686.000000 | -2625 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 3.0 | 2 | 2 | FRIDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.097844 | 0.408564 | 0.273565 | 3.0 | 1.0 | 3.0 | 1.0 | -5.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 271611 | 414876 | 0 | Revolving loans | M | N | Y | 0 | 135000.0 | 157500.0 | 7875.0 | 0.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.010966 | -14876 | -1577 | -1665.000000 | -3422 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Drivers | 2.0 | 2 | 2 | THURSDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.521599 | 0.511892 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 271754 | 415039 | 0 | Revolving loans | M | N | Y | 1 | 121500.0 | 225000.0 | 11250.0 | 0.0 | NaN | Working | Secondary / secondary special | Married | With parents | 0.008474 | -9939 | -886 | -4801.000000 | -2283 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Core staff | 3.0 | 2 | 2 | THURSDAY | 15 | 0 | 0 | 0 | 1 | 1 | 0 | Business Entity Type 1 | NaN | 0.590451 | 0.270707 | 0.0 | 0.0 | 0.0 | 0.0 | -660.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 272242 | 415625 | 0 | Revolving loans | M | N | N | 0 | 126000.0 | 270000.0 | 13500.0 | 0.0 | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.007120 | -13322 | -1632 | -776.000000 | -4690 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Drivers | 1.0 | 2 | 2 | WEDNESDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Industry: type 3 | NaN | 0.606164 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -897.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 272252 | 415635 | 0 | Revolving loans | F | N | Y | 0 | 90000.0 | 270000.0 | 13500.0 | 0.0 | NaN | Working | Secondary / secondary special | Separated | House / apartment | 0.010147 | -14704 | -831 | -1999.000000 | -5130 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 1.0 | 2 | 2 | MONDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Trade: type 7 | NaN | 0.030760 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -669.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 2.0 |
| 273229 | 416712 | 0 | Revolving loans | F | N | Y | 1 | 112500.0 | 180000.0 | 9000.0 | 0.0 | NaN | State servant | Secondary / secondary special | Married | House / apartment | 0.002042 | -15098 | -6407 | -1033.000000 | -6085 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Medicine staff | 3.0 | 3 | 3 | SATURDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Medicine | NaN | 0.506895 | 0.672243 | 0.0 | 0.0 | 0.0 | 0.0 | -815.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 273610 | 417132 | 0 | Cash loans | M | Y | N | 0 | 292500.0 | 630000.0 | 23476.5 | 630000.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.028663 | -18811 | -1170 | -4687.000000 | -2277 | 1.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | WEDNESDAY | 10 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | NaN | 0.479196 | 0.397946 | 0.0 | 0.0 | 0.0 | 0.0 | -2.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 7.0 |
| 273757 | 417309 | 0 | Revolving loans | F | N | Y | 0 | 65250.0 | 202500.0 | 10125.0 | 0.0 | NaN | Pensioner | Secondary / secondary special | Married | Municipal apartment | 0.010006 | -21538 | 365243 | -3303.000000 | -2366 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.831460 | NaN | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1910.0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 273847 | 417424 | 0 | Cash loans | F | N | Y | 2 | 135000.0 | 592560.0 | 27589.5 | 450000.0 | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.032561 | -11933 | -775 | -3906.000000 | -1047 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Private service staff | 4.0 | 1 | 1 | THURSDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.691252 | 0.210350 | 1.0 | 0.0 | 1.0 | 0.0 | -329.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 274111 | 417727 | 0 | Cash loans | F | N | N | 0 | 135000.0 | 170640.0 | 5580.0 | 135000.0 | NaN | Pensioner | Secondary / secondary special | Married | Municipal apartment | 0.009334 | -22169 | 365243 | -11928.000000 | -1054 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.638639 | 0.492060 | 1.0 | 0.0 | 1.0 | 0.0 | -364.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 275284 | 419023 | 0 | Revolving loans | M | N | Y | 0 | 90000.0 | 180000.0 | 9000.0 | 0.0 | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.007330 | -18394 | -11426 | -10186.000000 | -1933 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 1.0 | 2 | 2 | FRIDAY | 18 | 0 | 0 | 0 | 0 | 0 | 0 | Culture | 0.680058 | 0.721388 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -399.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 |
| 275429 | 419205 | 0 | Revolving loans | F | N | Y | 1 | 112500.0 | 202500.0 | 10125.0 | 0.0 | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.010147 | -8120 | -731 | -7506.000000 | -341 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Sales staff | 2.0 | 2 | 2 | TUESDAY | 16 | 0 | 0 | 0 | 0 | 1 | 1 | Self-employed | 0.221135 | 0.109114 | 0.210350 | 0.0 | 0.0 | 0.0 | 0.0 | -311.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 276692 | 420659 | 0 | Revolving loans | M | N | Y | 0 | 112500.0 | 247500.0 | 12375.0 | 0.0 | NaN | Pensioner | Higher education | Married | House / apartment | 0.018209 | -22496 | 365243 | -4018.000000 | -4087 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 3 | 3 | TUESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.424637 | 0.527037 | 0.529890 | 0.0 | 0.0 | 0.0 | 0.0 | -204.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 277089 | 421109 | 1 | Cash loans | F | N | N | 0 | 180000.0 | 808650.0 | 22365.0 | 675000.0 | NaN | Commercial associate | Secondary / secondary special | Civil marriage | House / apartment | 0.035792 | -16874 | -4299 | -216.000000 | -426 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 2.0 | 2 | 2 | SUNDAY | 13 | 0 | 1 | 1 | 0 | 1 | 1 | Industry: type 3 | NaN | 0.611200 | NaN | 8.0 | 0.0 | 8.0 | 0.0 | -518.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 277577 | 421621 | 0 | Cash loans | F | Y | N | 1 | 112500.0 | 900000.0 | 23872.5 | 900000.0 | NaN | Working | Higher education | Married | House / apartment | 0.026392 | -13859 | -267 | -2781.000000 | -4614 | 1.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 3.0 | 2 | 2 | THURSDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Trade: type 7 | 0.782231 | 0.538723 | 0.588488 | 0.0 | 0.0 | 0.0 | 0.0 | -416.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 277828 | 421882 | 0 | Cash loans | F | N | N | 1 | 157500.0 | 398160.0 | 10948.5 | 315000.0 | NaN | State servant | Higher education | Married | Rented apartment | 0.014464 | -14520 | -2319 | -392.000000 | -3310 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | HR staff | 3.0 | 2 | 2 | WEDNESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Security Ministries | NaN | 0.724925 | 0.285180 | 0.0 | 0.0 | 0.0 | 0.0 | -1508.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 277969 | 422096 | 0 | Revolving loans | F | N | Y | 1 | 90000.0 | 202500.0 | 10125.0 | 0.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.007020 | -7950 | -1068 | -116.000000 | -577 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 3.0 | 2 | 2 | SATURDAY | 14 | 0 | 0 | 0 | 1 | 1 | 1 | Other | 0.134095 | 0.223138 | NaN | 8.0 | 0.0 | 8.0 | 0.0 | 0.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 278535 | 422708 | 0 | Cash loans | F | N | N | 1 | 94500.0 | 495000.0 | 18342.0 | 495000.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.028663 | -16742 | -4481 | -2469.000000 | -291 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Medicine staff | 3.0 | 2 | 2 | FRIDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Medicine | 0.713675 | 0.706814 | 0.607557 | 0.0 | 0.0 | 0.0 | 0.0 | -3.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 |
| 278747 | 422928 | 0 | Revolving loans | M | N | Y | 1 | 117000.0 | 180000.0 | 9000.0 | 0.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.009175 | -12462 | -1203 | -3084.000000 | -1610 | NaN | 1 | 1 | 0 | 1 | 1 | 1 | Laborers | 3.0 | 2 | 2 | SATURDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.214509 | 0.630480 | 0.560284 | 0.0 | 0.0 | 0.0 | 0.0 | -1448.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 7.0 |
| 279019 | 423255 | 0 | Cash loans | F | Y | N | 0 | 90000.0 | 238500.0 | 22198.5 | 238500.0 | NaN | Working | Secondary / secondary special | Married | Rented apartment | 0.028663 | -11017 | -115 | -780.000000 | -1907 | 13.0 | 1 | 1 | 1 | 1 | 0 | 0 | Accountants | 2.0 | 2 | 2 | WEDNESDAY | 15 | 0 | 0 | 0 | 1 | 1 | 0 | Self-employed | NaN | 0.227820 | 0.728141 | 1.0 | 1.0 | 1.0 | 1.0 | -5.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 279268 | 423509 | 0 | Cash loans | F | Y | Y | 0 | 90000.0 | 364428.0 | 10152.0 | 238500.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.022625 | -16357 | -3550 | -3017.000000 | -4017 | 5.0 | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 2.0 | 2 | 2 | THURSDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Transport: type 4 | 0.624302 | 0.460384 | 0.297087 | 0.0 | 0.0 | 0.0 | 0.0 | -555.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 279362 | 423607 | 0 | Cash loans | M | Y | N | 0 | 270000.0 | 900000.0 | 24750.0 | 900000.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.026392 | -15286 | -2187 | -3417.000000 | -2053 | 2.0 | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 2.0 | 2 | 2 | WEDNESDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Construction | NaN | 0.719671 | 0.597192 | 1.0 | 0.0 | 1.0 | 0.0 | -2343.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 279583 | 423902 | 0 | Revolving loans | F | N | Y | 1 | 45000.0 | 135000.0 | 6750.0 | 0.0 | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.010966 | -9903 | -185 | -2559.000000 | -1187 | NaN | 1 | 1 | 1 | 1 | 1 | 1 | Managers | 2.0 | 2 | 2 | TUESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Postal | 0.249219 | 0.609775 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1628.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 279718 | 424074 | 0 | Cash loans | F | N | N | 0 | 202500.0 | 729792.0 | 22257.0 | 630000.0 | NaN | Pensioner | Secondary / secondary special | Single / not married | House / apartment | 0.025164 | -19624 | 365243 | -2404.000000 | -3170 | NaN | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | SATURDAY | 13 | 0 | 0 | 0 | 1 | 0 | 0 | XNA | NaN | 0.642706 | 0.678568 | 5.0 | 0.0 | 5.0 | 0.0 | -1524.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 279926 | 424331 | 0 | Cash loans | F | N | N | 3 | 225000.0 | 1236816.0 | 35446.5 | 1080000.0 | NaN | Working | Higher education | Married | House / apartment | 0.010032 | -14303 | -6824 | -489.000000 | -5193 | NaN | 1 | 1 | 0 | 1 | 0 | 1 | Accountants | 5.0 | 2 | 2 | TUESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Transport: type 2 | 0.617787 | 0.529026 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -2201.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 279997 | 424410 | 0 | Revolving loans | F | N | Y | 1 | 112500.0 | 270000.0 | 13500.0 | 0.0 | NaN | Working | Secondary / secondary special | Separated | House / apartment | 0.020246 | -13598 | -384 | -247.000000 | -797 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Sales staff | 2.0 | 3 | 3 | THURSDAY | 7 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.545629 | 0.424399 | 0.377404 | 0.0 | 0.0 | 0.0 | 0.0 | -442.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 280056 | 424469 | 0 | Cash loans | M | Y | N | 0 | 360000.0 | 2250000.0 | 83515.5 | 2250000.0 | NaN | Commercial associate | Higher education | Single / not married | House / apartment | 0.019101 | -12939 | -635 | -7086.000000 | -4321 | 7.0 | 1 | 1 | 0 | 1 | 1 | 0 | Managers | 1.0 | 2 | 2 | MONDAY | 14 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | NaN | 0.692399 | 0.636376 | 0.0 | 0.0 | 0.0 | 0.0 | -1376.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 280526 | 424998 | 0 | Cash loans | M | Y | N | 0 | 247500.0 | 545040.0 | 28894.5 | 450000.0 | NaN | Working | Higher education | Single / not married | House / apartment | 0.020713 | -9413 | -698 | -3626.000000 | -2045 | 4.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 1.0 | 3 | 3 | WEDNESDAY | 7 | 0 | 0 | 0 | 1 | 1 | 0 | Business Entity Type 3 | NaN | 0.591392 | 0.689479 | 0.0 | 0.0 | 0.0 | 0.0 | -237.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 280698 | 425175 | 0 | Cash loans | F | Y | N | 0 | 405000.0 | 2250000.0 | 59485.5 | 2250000.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.026392 | -18472 | -340 | -8971.000000 | -1779 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Drivers | 2.0 | 2 | 2 | THURSDAY | 18 | 0 | 0 | 0 | 0 | 0 | 0 | Other | NaN | 0.551676 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -3.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 280786 | 425268 | 0 | Cash loans | F | N | N | 0 | 270000.0 | 578979.0 | 21586.5 | 517500.0 | NaN | Pensioner | Secondary / secondary special | Married | House / apartment | 0.025164 | -21170 | 365243 | -1842.000000 | -1842 | NaN | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.636689 | 0.522697 | 13.0 | 3.0 | 13.0 | 2.0 | -1.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 280792 | 425274 | 0 | Cash loans | M | N | Y | 1 | 157500.0 | 835605.0 | 23107.5 | 697500.0 | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.007305 | -13684 | -1836 | -431.000000 | -4164 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Drivers | 3.0 | 3 | 3 | MONDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.416630 | 0.568538 | 0.680139 | 0.0 | 0.0 | 0.0 | 0.0 | -1482.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 281050 | 425623 | 0 | Revolving loans | M | N | Y | 0 | 225000.0 | 540000.0 | 27000.0 | 0.0 | NaN | Working | Higher education | Married | House / apartment | 0.018634 | -19645 | -621 | -8405.000000 | -845 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Managers | 2.0 | 2 | 2 | MONDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Construction | NaN | 0.372064 | 0.676993 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 |
| 281100 | 425673 | 1 | Cash loans | M | N | N | 1 | 135000.0 | 284400.0 | 14575.5 | 225000.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.019689 | -9582 | -1746 | -1729.000000 | -2253 | NaN | 1 | 1 | 0 | 1 | 0 | 1 | Laborers | 3.0 | 2 | 2 | TUESDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | NaN | 0.491933 | 0.355639 | 0.0 | 0.0 | 0.0 | 0.0 | -7.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 281653 | 426277 | 0 | Revolving loans | F | N | Y | 0 | 45000.0 | 135000.0 | 6750.0 | 0.0 | NaN | State servant | Secondary / secondary special | Married | House / apartment | 0.025164 | -18860 | -7885 | -9087.000000 | -2408 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Cooking staff | 2.0 | 2 | 2 | THURSDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Kindergarten | NaN | 0.299881 | 0.680139 | 1.0 | 1.0 | 1.0 | 0.0 | -187.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 282002 | 426638 | 0 | Revolving loans | M | N | Y | 1 | 121500.0 | 202500.0 | 10125.0 | 0.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.016612 | -15706 | -2426 | -2654.000000 | -4261 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Security staff | 3.0 | 2 | 2 | SATURDAY | 12 | 0 | 1 | 1 | 0 | 1 | 1 | Security | NaN | 0.637720 | 0.556727 | 2.0 | 0.0 | 2.0 | 0.0 | -1794.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 282270 | 426914 | 0 | Revolving loans | F | N | Y | 0 | 126000.0 | 382500.0 | 19125.0 | 0.0 | NaN | Commercial associate | Higher education | Married | Municipal apartment | 0.010006 | -10156 | -1470 | -3418.000000 | -1773 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 2.0 | 2 | 2 | SUNDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.347868 | 0.488638 | 0.504681 | 5.0 | 0.0 | 5.0 | 0.0 | -743.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 282607 | 427343 | 0 | Cash loans | F | N | N | 0 | 171000.0 | 614223.0 | 22891.5 | 549000.0 | NaN | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.020713 | -17288 | -3031 | -182.000000 | -817 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 2.0 | 3 | 3 | THURSDAY | 6 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | NaN | 0.478945 | 0.363945 | 0.0 | 0.0 | 0.0 | 0.0 | -1820.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 282847 | 427592 | 0 | Revolving loans | F | N | N | 0 | 112500.0 | 337500.0 | 16875.0 | 0.0 | NaN | State servant | Higher education | Married | House / apartment | 0.001276 | -10978 | -1791 | -2216.000000 | -652 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 2.0 | 2 | 2 | WEDNESDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.585709 | 0.322456 | 0.641368 | 6.0 | 0.0 | 6.0 | 0.0 | -1147.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 283159 | 427953 | 0 | Revolving loans | F | N | Y | 0 | 90000.0 | 202500.0 | 10125.0 | 0.0 | NaN | Commercial associate | Secondary / secondary special | Single / not married | With parents | 0.024610 | -7835 | -602 | -2571.000000 | -500 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Cooking staff | 1.0 | 2 | 2 | FRIDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.370166 | NaN | 4.0 | 2.0 | 4.0 | 2.0 | -98.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 283385 | 428186 | 0 | Cash loans | F | N | N | 1 | 135000.0 | 491823.0 | 22918.5 | 373500.0 | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.024610 | -9742 | -1517 | -9742.000000 | -2335 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | SATURDAY | 11 | 0 | 0 | 0 | 1 | 1 | 1 | Business Entity Type 3 | 0.387479 | 0.291240 | 0.624615 | 3.0 | 1.0 | 3.0 | 1.0 | -38.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 283600 | 428451 | 0 | Cash loans | F | Y | Y | 1 | 67500.0 | 495000.0 | 33214.5 | 495000.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.016612 | -14347 | -3158 | -7146.000000 | -4120 | 23.0 | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 3.0 | 2 | 2 | MONDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Postal | 0.670903 | 0.226932 | 0.695622 | 4.0 | 0.0 | 4.0 | 0.0 | -1783.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 283886 | 428765 | 1 | Cash loans | F | Y | N | 1 | 56250.0 | 445500.0 | 12897.0 | 445500.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.026392 | -11557 | -3607 | -2780.000000 | -2828 | 19.0 | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 3.0 | 2 | 2 | TUESDAY | 12 | 0 | 0 | 0 | 0 | 1 | 1 | Government | NaN | 0.735109 | 0.812823 | 2.0 | 0.0 | 2.0 | 0.0 | -1.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 283927 | 428817 | 0 | Cash loans | M | Y | N | 1 | 166500.0 | 663093.0 | 17622.0 | 553500.0 | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.008474 | -15113 | -7096 | -3150.000000 | -4174 | 3.0 | 1 | 1 | 0 | 1 | 1 | 0 | Laborers | 3.0 | 2 | 2 | TUESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 1 | 0.268297 | 0.227678 | 0.415347 | 6.0 | 0.0 | 6.0 | 0.0 | -2.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 5.0 | 0.0 | 0.0 |
| 283948 | 428841 | 0 | Cash loans | M | Y | Y | 0 | 153000.0 | 485640.0 | 35671.5 | 450000.0 | NaN | State servant | Secondary / secondary special | Married | House / apartment | 0.031329 | -16805 | -860 | -9366.000000 | -349 | 8.0 | 1 | 1 | 0 | 1 | 0 | 0 | Drivers | 2.0 | 2 | 2 | FRIDAY | 10 | 0 | 0 | 0 | 0 | 1 | 1 | School | NaN | 0.575743 | 0.432962 | 0.0 | 0.0 | 0.0 | 0.0 | -408.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 283960 | 428855 | 0 | Cash loans | M | N | N | 0 | 80325.0 | 373140.0 | 18954.0 | 337500.0 | NaN | Working | Secondary / secondary special | Separated | House / apartment | 0.020713 | -19674 | -3646 | -7949.000000 | -2981 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Security staff | 1.0 | 3 | 3 | TUESDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Government | 0.381941 | 0.590784 | NaN | 4.0 | 2.0 | 4.0 | 1.0 | -1663.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 |
| 284165 | 429092 | 0 | Cash loans | F | N | N | 0 | 112500.0 | 412942.5 | 21105.0 | 373500.0 | NaN | Pensioner | Secondary / secondary special | Single / not married | House / apartment | 0.010147 | -24183 | 365243 | -11604.000000 | -4734 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | TUESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.729942 | 0.656158 | 0.0 | 0.0 | 0.0 | 0.0 | -2.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 284379 | 429337 | 0 | Cash loans | F | N | N | 0 | 202500.0 | 711072.0 | 21690.0 | 540000.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.030755 | -16924 | -1104 | -9158.000000 | -451 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Sales staff | 2.0 | 2 | 2 | FRIDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.609609 | 0.657784 | 0.0 | 0.0 | 0.0 | 0.0 | -2207.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 285269 | 430381 | 0 | Revolving loans | M | N | Y | 1 | 180000.0 | 270000.0 | 13500.0 | 0.0 | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.010500 | -13706 | -991 | -9824.000000 | -3904 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Managers | 3.0 | 3 | 3 | SUNDAY | 15 | 1 | 1 | 0 | 1 | 1 | 0 | Construction | 0.749647 | 0.673492 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -526.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 285390 | 430522 | 0 | Cash loans | F | N | N | 0 | 225000.0 | 1206000.0 | 31941.0 | 1206000.0 | NaN | Working | Higher education | Married | House / apartment | 0.028663 | -10278 | -223 | -4691.000000 | -1499 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 2.0 | 2 | 2 | SUNDAY | 13 | 0 | 0 | 0 | 0 | 1 | 1 | Medicine | NaN | 0.554800 | NaN | 3.0 | 0.0 | 3.0 | 0.0 | -1139.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 |
| 285984 | 431218 | 0 | Cash loans | F | N | N | 0 | 477000.0 | 481855.5 | 47790.0 | 463500.0 | NaN | Pensioner | Higher education | Married | House / apartment | 0.025164 | -23810 | 365243 | -1675.000000 | -4676 | NaN | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.257288 | 0.691021 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 286638 | 431986 | 0 | Cash loans | M | Y | N | 2 | 292500.0 | 675000.0 | 18693.0 | 675000.0 | NaN | State servant | Secondary / secondary special | Separated | House / apartment | 0.006233 | -12587 | -5042 | -3473.000000 | -4489 | 11.0 | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 3.0 | 2 | 2 | THURSDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Emergency | 0.580914 | 0.713712 | 0.344155 | 0.0 | 0.0 | 0.0 | 0.0 | -1749.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 286934 | 432338 | 0 | Cash loans | F | N | N | 0 | 135000.0 | 892044.0 | 24660.0 | 639000.0 | NaN | Working | Secondary / secondary special | Separated | House / apartment | 0.006008 | -21810 | -992 | -12216.000000 | -4596 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 1.0 | 2 | 2 | MONDAY | 17 | 0 | 0 | 0 | 0 | 1 | 1 | Self-employed | NaN | 0.448085 | 0.667458 | 2.0 | 0.0 | 2.0 | 0.0 | -360.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 287092 | 432536 | 0 | Revolving loans | M | N | Y | 0 | 90000.0 | 180000.0 | 9000.0 | 0.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.022625 | -21339 | -13031 | -6244.000000 | -4646 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 2.0 | 2 | 2 | TUESDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.481554 | NaN | 2.0 | 0.0 | 2.0 | 0.0 | -1475.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 287146 | 432602 | 0 | Cash loans | M | Y | N | 1 | 180000.0 | 952960.5 | 35316.0 | 851769.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.022800 | -14648 | -292 | -538.000000 | -4312 | 4.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 3.0 | 2 | 2 | MONDAY | 9 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | 0.282189 | 0.586675 | 0.394495 | 0.0 | 0.0 | 0.0 | 0.0 | -241.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | 1.0 |
| 287206 | 432678 | 0 | Cash loans | M | N | Y | 0 | 97650.0 | 315000.0 | 9027.0 | 315000.0 | NaN | Commercial associate | Higher education | Single / not married | House / apartment | 0.035792 | -7804 | -226 | -2575.000000 | -472 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | MONDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.498662 | 0.520898 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 287328 | 432825 | 0 | Cash loans | M | Y | Y | 0 | 270000.0 | 298512.0 | 27751.5 | 270000.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.019101 | -20454 | -6703 | -9127.000000 | -4014 | 6.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | FRIDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | NaN | 0.170859 | 0.691021 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 287329 | 432826 | 0 | Cash loans | F | N | N | 0 | 315000.0 | 540000.0 | 15475.5 | 540000.0 | NaN | Commercial associate | Higher education | Single / not married | House / apartment | 0.046220 | -8941 | -434 | -3981.000000 | -1612 | NaN | 1 | 1 | 0 | 1 | 0 | 1 | Core staff | 1.0 | 1 | 1 | TUESDAY | 13 | 0 | 1 | 1 | 0 | 0 | 0 | Bank | NaN | 0.472765 | 0.309275 | 0.0 | 0.0 | 0.0 | 0.0 | -257.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 9.0 |
| 287340 | 432839 | 0 | Cash loans | F | N | N | 1 | 157500.0 | 473760.0 | 47943.0 | 450000.0 | NaN | Working | Secondary / secondary special | Married | With parents | 0.030755 | -13142 | -2112 | -3643.000000 | -5238 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 3.0 | 2 | 2 | MONDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.518025 | 0.654176 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -2280.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 |
| 287347 | 432847 | 0 | Revolving loans | F | N | N | 1 | 90000.0 | 270000.0 | 13500.0 | 0.0 | NaN | Working | Secondary / secondary special | Married | Rented apartment | 0.009175 | -11099 | -2761 | -4537.000000 | -2377 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Sales staff | 3.0 | 2 | 2 | SUNDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.273940 | 0.725304 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -216.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 287647 | 433202 | 0 | Cash loans | M | N | N | 0 | 126000.0 | 1372500.0 | 36333.0 | 1372500.0 | NaN | Working | Higher education | Single / not married | House / apartment | 0.015221 | -9924 | -1450 | -267.000000 | -2409 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 1.0 | 2 | 2 | TUESDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | NaN | 0.299684 | 0.176653 | 2.0 | 0.0 | 2.0 | 0.0 | -328.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 287859 | 433460 | 0 | Cash loans | F | N | N | 0 | 81000.0 | 314055.0 | 12091.5 | 238500.0 | NaN | Working | Secondary / secondary special | Separated | House / apartment | 0.008866 | -14946 | -2468 | -7692.000000 | -4126 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Laborers | 1.0 | 2 | 2 | FRIDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Industry: type 3 | NaN | 0.344285 | 0.758393 | 0.0 | 0.0 | 0.0 | 0.0 | -3.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 287878 | 433484 | 0 | Cash loans | F | N | Y | 0 | 135000.0 | 417024.0 | 18499.5 | 360000.0 | NaN | Pensioner | Secondary / secondary special | Single / not married | House / apartment | 0.010500 | -20856 | 365243 | -7883.000000 | -508 | NaN | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 3 | 3 | TUESDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.200432 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -109.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 288003 | 433638 | 0 | Cash loans | M | N | N | 0 | 180000.0 | 675000.0 | 25146.0 | 675000.0 | NaN | Commercial associate | Higher education | Single / not married | House / apartment | 0.035792 | -9488 | -1505 | -4057.000000 | -2157 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | High skill tech staff | 1.0 | 2 | 2 | TUESDAY | 15 | 0 | 0 | 0 | 0 | 1 | 1 | Industry: type 9 | 0.301092 | 0.360558 | 0.454321 | 7.0 | 0.0 | 7.0 | 0.0 | -1384.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 288114 | 433769 | 0 | Cash loans | F | N | N | 0 | 157500.0 | 2220259.5 | 58698.0 | 1984500.0 | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.025164 | -21895 | -662 | -12106.000000 | -4906 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Security staff | 2.0 | 2 | 2 | SATURDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.668028 | 0.568061 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -3.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 288358 | 434059 | 0 | Cash loans | F | N | N | 0 | 103500.0 | 135000.0 | 4090.5 | 135000.0 | NaN | Pensioner | Secondary / secondary special | Married | House / apartment | 0.003541 | -23415 | 365243 | -2553.000000 | -4262 | NaN | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 1 | 1 | FRIDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.830303 | 0.516271 | 0.567379 | 3.0 | 1.0 | 3.0 | 0.0 | -3.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 288411 | 434116 | 0 | Cash loans | M | N | N | 0 | 517500.0 | 1984500.0 | 57006.0 | 1984500.0 | NaN | Commercial associate | Academic degree | Single / not married | House / apartment | 0.022800 | -11408 | -320 | -578.000000 | -4038 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | TUESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.317662 | 0.711078 | 0.350696 | 2.0 | 0.0 | 2.0 | 0.0 | -4.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | 1.0 |
| 288423 | 434130 | 0 | Cash loans | M | Y | N | 0 | 112500.0 | 625536.0 | 19093.5 | 540000.0 | NaN | Pensioner | Secondary / secondary special | Married | House / apartment | 0.025164 | -18123 | 365243 | -6045.000000 | -1671 | 12.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.585094 | 0.652897 | 3.0 | 0.0 | 3.0 | 0.0 | -9.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 288669 | 434422 | 0 | Cash loans | F | Y | N | 0 | 225000.0 | 728460.0 | 37134.0 | 675000.0 | NaN | Pensioner | Higher education | Married | House / apartment | 0.018801 | -24232 | 365243 | -3886.000000 | -5203 | 64.0 | 1 | 0 | 0 | 1 | 0 | 1 | NaN | 2.0 | 2 | 2 | MONDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.337833 | 0.504681 | 3.0 | 2.0 | 3.0 | 2.0 | -2.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 288689 | 434446 | 0 | Cash loans | F | Y | N | 0 | 180000.0 | 888840.0 | 29016.0 | 675000.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.032561 | -19950 | -5639 | -8777.000000 | -3383 | 2.0 | 1 | 1 | 0 | 1 | 0 | 0 | Accountants | 2.0 | 1 | 1 | TUESDAY | 18 | 0 | 1 | 1 | 0 | 1 | 1 | Business Entity Type 3 | 0.732580 | 0.814758 | 0.492060 | 0.0 | 0.0 | 0.0 | 0.0 | -2575.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 4.0 | 4.0 | 0.0 | 0.0 | 1.0 |
| 288781 | 434552 | 0 | Cash loans | F | Y | Y | 0 | 315000.0 | 646920.0 | 17194.5 | 540000.0 | NaN | Commercial associate | Secondary / secondary special | Civil marriage | House / apartment | 0.018634 | -13580 | -3572 | -1085.000000 | -4186 | 3.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.524619 | 0.548033 | 0.647977 | 9.0 | 0.0 | 9.0 | 0.0 | -932.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 |
| 289793 | 435732 | 0 | Revolving loans | F | N | Y | 2 | 150750.0 | 180000.0 | 9000.0 | 0.0 | NaN | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.030755 | -13541 | -888 | -2876.000000 | -4256 | NaN | 1 | 1 | 1 | 1 | 1 | 1 | NaN | 4.0 | 2 | 2 | MONDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.580840 | 0.475399 | 0.312365 | 1.0 | 0.0 | 1.0 | 0.0 | -1362.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 290617 | 436679 | 1 | Cash loans | M | Y | N | 0 | 135000.0 | 276277.5 | 18261.0 | 238500.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.020713 | -17165 | -3272 | -2430.000000 | -694 | 12.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 3 | 3 | SATURDAY | 12 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | NaN | 0.588620 | 0.429424 | 2.0 | 0.0 | 2.0 | 0.0 | -1577.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 290870 | 436966 | 0 | Cash loans | F | Y | N | 0 | 144000.0 | 313438.5 | 16051.5 | 283500.0 | NaN | Pensioner | Lower secondary | Widow | House / apartment | 0.007020 | -23274 | 365243 | -9437.000000 | -3177 | 6.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | WEDNESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.346936 | 0.475850 | 1.0 | 0.0 | 1.0 | 0.0 | -376.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 4.0 |
| 290948 | 437051 | 0 | Cash loans | F | N | Y | 0 | 90000.0 | 331632.0 | 30816.0 | 315000.0 | NaN | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.025164 | -25045 | 365243 | -12559.000000 | -4356 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | THURSDAY | 7 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.250097 | 0.607557 | 2.0 | 0.0 | 2.0 | 0.0 | -1115.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 291017 | 437125 | 0 | Cash loans | F | N | Y | 0 | 112500.0 | 417024.0 | 27499.5 | 360000.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.018801 | -14530 | -384 | -4307.000000 | -4597 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 2.0 | 2 | 2 | WEDNESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Trade: type 7 | NaN | 0.158932 | 0.427657 | 7.0 | 1.0 | 7.0 | 1.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 291372 | 437555 | 0 | Revolving loans | F | N | N | 2 | 99000.0 | 135000.0 | 6750.0 | 0.0 | NaN | Working | Incomplete higher | Married | With parents | 0.008474 | -14082 | -313 | -6914.000000 | -3354 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 4.0 | 2 | 2 | WEDNESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.686397 | 0.643026 | 0.0 | 0.0 | 0.0 | 0.0 | -2109.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 291384 | 437568 | 0 | Revolving loans | M | N | N | 0 | 315000.0 | 675000.0 | 33750.0 | 0.0 | NaN | Working | Secondary / secondary special | Married | Municipal apartment | 0.020713 | -12970 | -5181 | -562.000000 | -4210 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 2.0 | 3 | 3 | FRIDAY | 6 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.034158 | 0.551381 | 0.0 | 0.0 | 0.0 | 0.0 | -1184.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 291606 | 437824 | 0 | Cash loans | F | Y | N | 1 | 247500.0 | 621000.0 | 28773.0 | 621000.0 | NaN | Working | Incomplete higher | Civil marriage | House / apartment | 0.018209 | -9125 | -1076 | -8231.000000 | -1799 | 1.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 3.0 | 3 | 3 | FRIDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.501800 | 0.408359 | 0.0 | 0.0 | 0.0 | 0.0 | -435.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 292040 | 438322 | 0 | Revolving loans | F | N | N | 0 | 90000.0 | 270000.0 | 13500.0 | 0.0 | NaN | Commercial associate | Higher education | Single / not married | House / apartment | 0.026392 | -9108 | -577 | -3872.000000 | -1773 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | FRIDAY | 18 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.465968 | 0.692772 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -314.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 292120 | 438413 | 0 | Revolving loans | F | N | Y | 2 | 76500.0 | 202500.0 | 10125.0 | 0.0 | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.005002 | -14192 | -1233 | -6516.000000 | -3316 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 3.0 | 3 | 3 | TUESDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.772014 | 0.772631 | 0.0 | 0.0 | 0.0 | 0.0 | -3380.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 293387 | 439896 | 0 | Cash loans | M | Y | Y | 0 | 112500.0 | 545040.0 | 17536.5 | 450000.0 | NaN | Pensioner | Secondary / secondary special | Single / not married | House / apartment | 0.008068 | -22171 | 365243 | -76.000000 | -5445 | 17.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 3 | 3 | THURSDAY | 6 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.327638 | 0.425893 | 0.0 | 0.0 | 0.0 | 0.0 | -1684.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 5.0 |
| 293744 | 440318 | 0 | Cash loans | M | Y | N | 0 | 157500.0 | 450000.0 | 42511.5 | 450000.0 | NaN | Commercial associate | Higher education | Single / not married | With parents | 0.031329 | -10371 | -1711 | -3480.000000 | -3046 | 1.0 | 1 | 1 | 0 | 1 | 0 | 1 | Managers | 1.0 | 2 | 2 | THURSDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.493734 | 0.332293 | 0.401407 | 1.0 | 1.0 | 1.0 | 1.0 | -469.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 293794 | 440377 | 0 | Cash loans | F | N | N | 1 | 45000.0 | 157050.0 | 8221.5 | 112500.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.016612 | -13110 | -1189 | -1921.000000 | -5630 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Cooking staff | 3.0 | 2 | 2 | SATURDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Kindergarten | NaN | 0.556786 | 0.358951 | 0.0 | 0.0 | 0.0 | 0.0 | -961.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 293879 | 440475 | 0 | Cash loans | M | Y | N | 0 | 180000.0 | 675000.0 | 18693.0 | 675000.0 | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.030755 | -12761 | -240 | -6639.000000 | -3724 | 9.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | FRIDAY | 11 | 0 | 0 | 0 | 0 | 1 | 1 | Medicine | NaN | 0.666962 | 0.122180 | 4.0 | 1.0 | 4.0 | 1.0 | -1525.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 3.0 |
| 293911 | 440511 | 0 | Cash loans | M | N | Y | 0 | 67500.0 | 180000.0 | 9540.0 | 180000.0 | NaN | Pensioner | Secondary / secondary special | Married | House / apartment | 0.015221 | -24160 | 365243 | -8008.000000 | -1533 | NaN | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.777111 | 0.505578 | 0.726711 | 4.0 | 0.0 | 4.0 | 0.0 | -968.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 294087 | 440709 | 0 | Cash loans | F | N | N | 0 | 112500.0 | 900000.0 | 45850.5 | 900000.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.026392 | -18135 | -208 | -797.000000 | -1678 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | SATURDAY | 16 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | NaN | 0.672178 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -8.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 294109 | 440734 | 0 | Cash loans | M | Y | Y | 1 | 247500.0 | 651600.0 | 38227.5 | 562500.0 | NaN | Working | Incomplete higher | Married | House / apartment | 0.007330 | -17399 | -1454 | -4083.000000 | -555 | 10.0 | 1 | 1 | 0 | 1 | 0 | 0 | Managers | 3.0 | 2 | 2 | THURSDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.609599 | 0.706922 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -210.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 294136 | 440763 | 0 | Revolving loans | F | N | N | 2 | 135000.0 | 180000.0 | 9000.0 | 0.0 | NaN | State servant | Incomplete higher | Married | Rented apartment | 0.008625 | -11124 | -805 | -655.000000 | -2234 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | High skill tech staff | 4.0 | 2 | 2 | FRIDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Military | NaN | 0.570468 | 0.252599 | 0.0 | 0.0 | 0.0 | 0.0 | -491.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 294508 | 441195 | 0 | Cash loans | F | N | Y | 1 | 81000.0 | 135000.0 | 9148.5 | 135000.0 | NaN | Working | Higher education | Married | House / apartment | 0.026392 | -10152 | -294 | -861.000000 | -2813 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Sales staff | 3.0 | 2 | 2 | WEDNESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.261792 | 0.692213 | 0.377404 | 0.0 | 0.0 | 0.0 | 0.0 | -637.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 294887 | 441632 | 0 | Cash loans | F | N | N | 0 | 135000.0 | 1185282.0 | 34096.5 | 1035000.0 | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.022625 | -18125 | -9959 | -6098.000000 | -1636 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | SATURDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | School | NaN | 0.745828 | 0.511892 | 1.0 | 0.0 | 1.0 | 0.0 | -707.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 295194 | 441989 | 0 | Cash loans | M | N | Y | 0 | 180000.0 | 942300.0 | 26041.5 | 675000.0 | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.010032 | -14034 | -225 | -3409.000000 | -4076 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 1.0 | 2 | 2 | THURSDAY | 4 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.214634 | 0.646519 | 0.169429 | 1.0 | 0.0 | 1.0 | 0.0 | -26.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 |
| 295295 | 442115 | 0 | Revolving loans | F | N | N | 1 | 90000.0 | 225000.0 | 11250.0 | 0.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.009175 | -10909 | -2201 | -4552.000000 | -3571 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Private service staff | 3.0 | 2 | 2 | SATURDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | NaN | 0.673338 | 0.602386 | 6.0 | 0.0 | 6.0 | 0.0 | -598.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 |
| 295411 | 442248 | 0 | Cash loans | M | Y | Y | 0 | 47250.0 | 134775.0 | 5836.5 | 112500.0 | NaN | Pensioner | Secondary / secondary special | Married | House / apartment | 0.005313 | -22828 | 365243 | -10710.000000 | -4650 | 17.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.445172 | 0.754406 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 295463 | 442313 | 0 | Cash loans | M | Y | N | 2 | 135000.0 | 1019610.0 | 31041.0 | 913500.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.035792 | -12506 | -191 | -228.000000 | -4736 | 3.0 | 1 | 1 | 1 | 1 | 1 | 0 | Drivers | 4.0 | 2 | 2 | MONDAY | 17 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | NaN | 0.725095 | 0.495666 | 0.0 | 0.0 | 0.0 | 0.0 | -1875.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 296502 | 443520 | 0 | Cash loans | F | N | N | 1 | 135000.0 | 256500.0 | 24358.5 | 256500.0 | NaN | Commercial associate | Higher education | Married | Co-op apartment | 0.015221 | -14475 | -4514 | -4924.000000 | -4981 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Sales staff | 3.0 | 2 | 2 | THURSDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Trade: type 3 | 0.551397 | 0.540885 | 0.403142 | 3.0 | 0.0 | 3.0 | 0.0 | -1322.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 296673 | 443720 | 0 | Cash loans | F | Y | N | 1 | 279000.0 | 1971072.0 | 62019.0 | 1800000.0 | NaN | State servant | Secondary / secondary special | Civil marriage | House / apartment | 0.011657 | -10371 | -2967 | -7645.000000 | -2953 | 9.0 | 1 | 1 | 0 | 1 | 0 | 1 | Medicine staff | 3.0 | 1 | 1 | WEDNESDAY | 13 | 0 | 1 | 1 | 1 | 0 | 0 | Business Entity Type 3 | 0.260252 | 0.696117 | 0.569149 | 2.0 | 2.0 | 2.0 | 2.0 | -1462.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 297166 | 444282 | 0 | Cash loans | F | Y | N | 0 | 269311.5 | 1350000.0 | 41062.5 | 1350000.0 | NaN | Commercial associate | Higher education | Married | House / apartment | 0.030755 | -10890 | -2402 | -3204.000000 | -1545 | 1.0 | 1 | 1 | 1 | 1 | 1 | 0 | Core staff | 2.0 | 2 | 2 | TUESDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Electricity | NaN | 0.268869 | 0.535276 | 0.0 | 0.0 | 0.0 | 0.0 | -712.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 297236 | 444362 | 0 | Cash loans | F | N | N | 0 | 45000.0 | 286704.0 | 12757.5 | 247500.0 | NaN | Pensioner | Secondary / secondary special | Married | House / apartment | 0.008019 | -24326 | 365243 | -13020.000000 | -4264 | NaN | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.663846 | 0.616122 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 297387 | 444539 | 0 | Cash loans | F | Y | N | 2 | 67500.0 | 269550.0 | 18081.0 | 225000.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.008068 | -9349 | -291 | -736.000000 | -1807 | 12.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 4.0 | 3 | 3 | WEDNESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Security | 0.500838 | 0.210941 | 0.544235 | 4.0 | 0.0 | 4.0 | 0.0 | -1.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 297445 | 444601 | 0 | Cash loans | F | N | Y | 0 | 112500.0 | 592560.0 | 22698.0 | 450000.0 | NaN | Working | Secondary / secondary special | Separated | House / apartment | 0.006852 | -19722 | -102 | -4797.000000 | -3265 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 1.0 | 3 | 3 | THURSDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Hotel | 0.835721 | 0.252851 | 0.372334 | 2.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 297495 | 444660 | 0 | Cash loans | F | N | Y | 1 | 76500.0 | 225000.0 | 13527.0 | 225000.0 | NaN | Working | Higher education | Married | House / apartment | 0.018209 | -11178 | -1580 | -2008.000000 | -3368 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 3.0 | 3 | 3 | WEDNESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Bank | 0.508461 | 0.483924 | 0.799297 | 5.0 | 0.0 | 4.0 | 0.0 | -1094.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 298004 | 445250 | 0 | Revolving loans | M | N | Y | 2 | 90000.0 | 180000.0 | 9000.0 | 0.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.024610 | -11771 | -2479 | -3872.000000 | -3913 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 4.0 | 2 | 2 | WEDNESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | 0.151076 | 0.591392 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -161.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 298502 | 445809 | 0 | Cash loans | F | Y | N | 0 | 360000.0 | 2250000.0 | 59355.0 | 2250000.0 | NaN | Commercial associate | Higher education | Married | House / apartment | 0.035792 | -9876 | -2064 | -4752.000000 | -2341 | 3.0 | 1 | 1 | 1 | 1 | 1 | 0 | Managers | 2.0 | 2 | 2 | THURSDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.727105 | 0.657439 | 0.411849 | 1.0 | 0.0 | 1.0 | 0.0 | -1345.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | 1.0 |
| 298521 | 445835 | 0 | Cash loans | F | N | N | 0 | 112500.0 | 405000.0 | 12406.5 | 405000.0 | NaN | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.022625 | -14689 | -1017 | -7872.000000 | -4315 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.582486 | 0.703344 | 0.678568 | 3.0 | 0.0 | 3.0 | 0.0 | -237.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 298583 | 445910 | 0 | Cash loans | M | N | Y | 0 | 85500.0 | 129519.0 | 12937.5 | 121500.0 | NaN | Pensioner | Secondary / secondary special | Married | House / apartment | 0.006629 | -23769 | 365243 | -3313.000000 | -1458 | NaN | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 8 | 0 | 0 | 0 | 1 | 0 | 0 | XNA | NaN | 0.740893 | 0.517297 | 1.0 | 0.0 | 1.0 | 0.0 | -1.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 298646 | 445986 | 0 | Cash loans | M | Y | N | 1 | 270000.0 | 1706548.5 | 66775.5 | 1593000.0 | NaN | Commercial associate | Higher education | Married | With parents | 0.046220 | -10940 | -456 | -4812.000000 | -3413 | 64.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 3.0 | 1 | 1 | FRIDAY | 19 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.278246 | 0.101459 | 3.0 | 0.0 | 3.0 | 0.0 | -340.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 298832 | 446193 | 0 | Cash loans | M | Y | N | 1 | 135000.0 | 906615.0 | 28597.5 | 688500.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.008625 | -19062 | -3109 | -184.000000 | -2234 | 16.0 | 1 | 1 | 0 | 1 | 0 | 0 | Drivers | 3.0 | 2 | 2 | WEDNESDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | NaN | 0.776906 | NaN | 3.0 | 0.0 | 3.0 | 0.0 | -742.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 299619 | 447111 | 0 | Cash loans | F | N | N | 0 | 283500.0 | 1800000.0 | 51718.5 | 1800000.0 | NaN | Commercial associate | Higher education | Married | House / apartment | 0.003541 | -12125 | -3256 | -1913.000000 | -4286 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 1 | 1 | WEDNESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Industry: type 9 | 0.451247 | 0.662894 | 0.441836 | 0.0 | 0.0 | 0.0 | 0.0 | -2.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 299820 | 447340 | 0 | Cash loans | M | Y | Y | 0 | 81000.0 | 247275.0 | 17586.0 | 225000.0 | NaN | Pensioner | Secondary / secondary special | Married | House / apartment | 0.018634 | -23862 | 365243 | -5268.000000 | -4957 | 29.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.477652 | 0.604113 | 11.0 | 0.0 | 10.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 2.0 |
| 300028 | 447579 | 0 | Cash loans | F | Y | N | 0 | 90000.0 | 225000.0 | 12006.0 | 225000.0 | NaN | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.026392 | -14939 | -6115 | -3107.000000 | -4696 | 3.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | School | NaN | 0.706909 | NaN | 3.0 | 1.0 | 3.0 | 1.0 | -157.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 300107 | 447675 | 0 | Revolving loans | F | N | Y | 1 | 405000.0 | 810000.0 | 40500.0 | 0.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.010006 | -16267 | -4206 | -5283.000000 | -3632 | NaN | 1 | 1 | 1 | 1 | 1 | 1 | Drivers | 3.0 | 2 | 2 | WEDNESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | NaN | 0.690557 | 0.120641 | 0.0 | 0.0 | 0.0 | 0.0 | -532.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 300428 | 448059 | 0 | Cash loans | F | N | N | 1 | 90000.0 | 225000.0 | 8568.0 | 225000.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.008068 | -11880 | -1770 | -638.000000 | -3642 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Accountants | 3.0 | 3 | 3 | SUNDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.377427 | 0.361718 | 0.600658 | 0.0 | 0.0 | 0.0 | 0.0 | -3.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 300481 | 448115 | 0 | Cash loans | F | N | N | 0 | 225000.0 | 1350000.0 | 35613.0 | 1350000.0 | NaN | Working | Higher education | Married | House / apartment | 0.006629 | -13400 | -101 | -3361.000000 | -4772 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 2.0 | 2 | 2 | MONDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Industry: type 9 | 0.762998 | 0.596060 | 0.789880 | 1.0 | 0.0 | 1.0 | 0.0 | -263.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 |
| 301361 | 449130 | 0 | Cash loans | F | N | N | 1 | 112500.0 | 379237.5 | 14184.0 | 288000.0 | NaN | State servant | Higher education | Married | House / apartment | 0.020246 | -10121 | -2446 | -915.000000 | -1979 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 3.0 | 3 | 3 | FRIDAY | 7 | 0 | 0 | 0 | 0 | 0 | 0 | Government | 0.310270 | 0.157100 | 0.728141 | 0.0 | 0.0 | 0.0 | 0.0 | -4.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 302276 | 450205 | 0 | Cash loans | F | N | Y | 1 | 180000.0 | 640080.0 | 20227.5 | 450000.0 | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.005002 | -11001 | -246 | -1774.000000 | -3562 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 2.0 | 3 | 3 | MONDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.438377 | 0.705157 | 0.207964 | 0.0 | 0.0 | 0.0 | 0.0 | -629.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 302310 | 450245 | 0 | Cash loans | M | Y | N | 0 | 180000.0 | 254700.0 | 23697.0 | 225000.0 | NaN | Working | Higher education | Single / not married | House / apartment | 0.035792 | -9422 | -593 | -3398.000000 | -2108 | 5.0 | 1 | 1 | 0 | 1 | 1 | 0 | Laborers | 1.0 | 2 | 2 | WEDNESDAY | 18 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | NaN | 0.569418 | 0.303146 | 1.0 | 0.0 | 1.0 | 0.0 | -1451.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 302503 | 450470 | 0 | Cash loans | F | N | N | 0 | 112500.0 | 675000.0 | 21492.0 | 675000.0 | NaN | Commercial associate | Higher education | Single / not married | House / apartment | 0.026392 | -10443 | -179 | -4156.000000 | -1217 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Managers | 1.0 | 2 | 2 | TUESDAY | 16 | 0 | 0 | 0 | 1 | 1 | 0 | Business Entity Type 3 | 0.299532 | 0.764220 | 0.513694 | 0.0 | 0.0 | 0.0 | 0.0 | -13.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 302793 | 450809 | 0 | Cash loans | M | N | N | 0 | 103500.0 | 688500.0 | 25645.5 | 688500.0 | NaN | Working | Higher education | Civil marriage | House / apartment | 0.018634 | -11739 | -2611 | -3945.000000 | -4064 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Core staff | 2.0 | 2 | 2 | FRIDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Trade: type 2 | NaN | 0.787335 | NaN | 3.0 | 0.0 | 3.0 | 0.0 | -1028.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 302885 | 450915 | 0 | Cash loans | M | N | N | 0 | 135000.0 | 720000.0 | 46683.0 | 720000.0 | NaN | Working | Higher education | Single / not married | House / apartment | 0.019101 | -10512 | -574 | -4330.000000 | -3154 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 1.0 | 2 | 2 | MONDAY | 11 | 0 | 0 | 0 | 1 | 1 | 0 | Police | 0.318636 | 0.632017 | 0.694093 | 1.0 | 0.0 | 1.0 | 0.0 | -2.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 302923 | 450959 | 0 | Revolving loans | F | N | Y | 0 | 126000.0 | 337500.0 | 16875.0 | 0.0 | NaN | Working | Secondary / secondary special | Widow | House / apartment | 0.020713 | -23162 | -15871 | -2388.000000 | -4284 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 1.0 | 3 | 3 | WEDNESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | NaN | 0.635742 | 0.089631 | 0.0 | 0.0 | 0.0 | 0.0 | -1614.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 303042 | 451093 | 1 | Cash loans | F | N | N | 0 | 112500.0 | 542133.0 | 17442.0 | 468000.0 | NaN | Pensioner | Secondary / secondary special | Civil marriage | House / apartment | 0.010147 | -20929 | 365243 | -10010.000000 | -4237 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.500303 | 0.218859 | 0.0 | 0.0 | 0.0 | 0.0 | -617.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 303160 | 451233 | 0 | Cash loans | F | N | Y | 0 | 135000.0 | 781920.0 | 23836.5 | 675000.0 | NaN | Pensioner | Secondary / secondary special | Separated | House / apartment | 0.025164 | -20157 | 365243 | -2940.000000 | -3472 | NaN | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | FRIDAY | 7 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.290987 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 303186 | 451266 | 0 | Cash loans | M | N | N | 0 | 148500.0 | 1381113.0 | 36562.5 | 1206000.0 | NaN | State servant | Higher education | Single / not married | House / apartment | 0.011703 | -8501 | -1921 | -8463.000000 | -1124 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 1.0 | 2 | 2 | MONDAY | 19 | 0 | 0 | 0 | 0 | 0 | 0 | Police | NaN | 0.647298 | 0.634706 | 0.0 | 0.0 | 0.0 | 0.0 | -4.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 303250 | 451343 | 0 | Cash loans | M | Y | N | 1 | 360000.0 | 1206000.0 | 31810.5 | 1206000.0 | NaN | Working | Higher education | Married | House / apartment | 0.015221 | -15979 | -1068 | -5299.000000 | -4650 | 7.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 3.0 | 2 | 2 | TUESDAY | 13 | 0 | 0 | 0 | 0 | 1 | 1 | Self-employed | NaN | 0.537674 | 0.396220 | 2.0 | 0.0 | 2.0 | 0.0 | -721.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 303603 | 451760 | 0 | Revolving loans | F | N | Y | 0 | 135000.0 | 135000.0 | 6750.0 | 0.0 | NaN | Commercial associate | Secondary / secondary special | Civil marriage | Municipal apartment | 0.009175 | -11236 | -2034 | -594.000000 | -2157 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | High skill tech staff | 2.0 | 2 | 2 | SUNDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | University | NaN | 0.703107 | 0.347418 | 0.0 | 0.0 | 0.0 | 0.0 | -757.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 303621 | 451781 | 0 | Revolving loans | F | N | Y | 0 | 112500.0 | 180000.0 | 9000.0 | 0.0 | NaN | Working | Incomplete higher | Civil marriage | House / apartment | 0.007330 | -7836 | -434 | -5474.000000 | -492 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Core staff | 2.0 | 2 | 2 | THURSDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.202586 | 0.475922 | NaN | 2.0 | 0.0 | 2.0 | 0.0 | -618.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 304196 | 452445 | 0 | Cash loans | F | N | Y | 2 | 175500.0 | 854352.0 | 22666.5 | 612000.0 | NaN | Commercial associate | Higher education | Married | House / apartment | 0.007305 | -12843 | -324 | -6720.000000 | -2253 | NaN | 1 | 1 | 0 | 1 | 0 | 1 | Core staff | 4.0 | 3 | 3 | FRIDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.682898 | 0.540754 | 0.522697 | 0.0 | 0.0 | 0.0 | 0.0 | -981.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | 1.0 |
| 304272 | 452528 | 0 | Cash loans | M | Y | N | 0 | 115546.5 | 423000.0 | 12253.5 | 423000.0 | NaN | Commercial associate | Secondary / secondary special | Married | With parents | 0.035792 | -16078 | -251 | -420.000000 | -46 | 18.0 | 1 | 1 | 0 | 1 | 0 | 0 | Low-skill Laborers | 2.0 | 2 | 2 | WEDNESDAY | 12 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | NaN | 0.573578 | 0.310818 | 8.0 | 0.0 | 8.0 | 0.0 | -2.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 304458 | 452740 | 0 | Cash loans | F | Y | N | 0 | 202500.0 | 999886.5 | 50922.0 | 945000.0 | NaN | Commercial associate | Higher education | Married | House / apartment | 0.072508 | -19559 | -1537 | -6054.000000 | -2504 | 4.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 1 | 1 | FRIDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.761332 | 0.240541 | 1.0 | 1.0 | 1.0 | 1.0 | -5.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 304565 | 452863 | 0 | Cash loans | F | Y | N | 0 | 360000.0 | 1649646.0 | 47407.5 | 1377000.0 | NaN | Working | Secondary / secondary special | Single / not married | With parents | 0.031329 | -9344 | -1166 | -4098.000000 | -1154 | 1.0 | 1 | 1 | 0 | 1 | 0 | 1 | NaN | 1.0 | 2 | 2 | THURSDAY | 16 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | 0.492700 | 0.402412 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1890.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 |
| 304621 | 452926 | 0 | Revolving loans | F | N | Y | 0 | 90000.0 | 247500.0 | 12375.0 | 0.0 | NaN | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.006008 | -20728 | 365243 | -10861.000000 | -4110 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | FRIDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.624966 | 0.511892 | 0.0 | 0.0 | 0.0 | 0.0 | -562.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 3.0 |
| 304678 | 452992 | 0 | Revolving loans | F | N | Y | 2 | 67500.0 | 202500.0 | 10125.0 | 0.0 | NaN | Working | Higher education | Married | House / apartment | 0.025164 | -11313 | -1470 | -1188.000000 | -3523 | NaN | 1 | 1 | 1 | 1 | 0 | 0 | Sales staff | 4.0 | 2 | 2 | WEDNESDAY | 11 | 0 | 0 | 0 | 1 | 0 | 1 | Business Entity Type 3 | NaN | 0.449139 | 0.574447 | 3.0 | 1.0 | 3.0 | 0.0 | -777.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 304688 | 453006 | 0 | Cash loans | M | Y | N | 2 | 225000.0 | 1130760.0 | 29956.5 | 810000.0 | NaN | Working | Higher education | Married | House / apartment | 0.022625 | -10873 | -264 | -1696.000000 | -3549 | 3.0 | 1 | 1 | 0 | 1 | 0 | 0 | Managers | 4.0 | 2 | 2 | MONDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.275852 | 0.760556 | 0.447179 | 0.0 | 0.0 | 0.0 | 0.0 | -6.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 304742 | 453065 | 0 | Cash loans | M | Y | N | 0 | 180000.0 | 254700.0 | 24192.0 | 225000.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.007274 | -18015 | -2332 | -1089.000000 | -1559 | 6.0 | 1 | 1 | 0 | 1 | 1 | 0 | Drivers | 2.0 | 2 | 2 | THURSDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Construction | NaN | 0.610914 | 0.738020 | 2.0 | 0.0 | 2.0 | 0.0 | -498.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 304784 | 453120 | 0 | Revolving loans | M | N | Y | 1 | 112500.0 | 270000.0 | 13500.0 | 0.0 | NaN | Working | Secondary / secondary special | Married | House / apartment | 0.028663 | -16870 | -825 | -1303.000000 | -427 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Drivers | 3.0 | 2 | 2 | THURSDAY | 10 | 0 | 0 | 0 | 1 | 1 | 1 | Self-employed | NaN | 0.441976 | 0.459690 | 3.0 | 1.0 | 3.0 | 1.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 304979 | 453340 | 1 | Cash loans | F | N | N | 0 | 202500.0 | 1381113.0 | 38110.5 | 1206000.0 | NaN | Working | Higher education | Separated | House / apartment | 0.030755 | -11908 | -937 | -35.000000 | -4267 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 1.0 | 2 | 2 | MONDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.458776 | 0.614552 | 0.321735 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 305150 | 453543 | 0 | Cash loans | F | N | Y | 0 | 202500.0 | 584014.5 | 25852.5 | 522000.0 | NaN | Pensioner | Secondary / secondary special | Civil marriage | House / apartment | 0.030755 | -20627 | 365243 | -2849.000000 | -3915 | NaN | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.735185 | 0.662190 | 0.461482 | 1.0 | 1.0 | 1.0 | 1.0 | -2439.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 7.0 |
| 305833 | 454341 | 0 | Revolving loans | F | N | Y | 0 | 126000.0 | 270000.0 | 13500.0 | 0.0 | NaN | Working | Incomplete higher | Single / not married | With parents | 0.015221 | -10440 | -3444 | -4452.000000 | -3096 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Core staff | 1.0 | 2 | 2 | THURSDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.164542 | 0.480353 | 0.698668 | 2.0 | 0.0 | 2.0 | 0.0 | -163.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 305862 | 454373 | 0 | Cash loans | F | N | N | 0 | 157500.0 | 625536.0 | 19093.5 | 540000.0 | NaN | Working | Secondary / secondary special | Single / not married | House / apartment | 0.025164 | -17362 | -2484 | -10299.000000 | -917 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 1.0 | 2 | 2 | MONDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | NaN | 0.268478 | 0.609276 | 2.0 | 0.0 | 2.0 | 0.0 | -2251.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 9.0 |
| 306045 | 454587 | 0 | Cash loans | M | N | N | 2 | 180000.0 | 900000.0 | 41836.5 | 900000.0 | NaN | Commercial associate | Secondary / secondary special | Single / not married | Co-op apartment | 0.031329 | -16648 | -1824 | -9121.000000 | -193 | NaN | 1 | 1 | 0 | 1 | 1 | 0 | Drivers | 3.0 | 2 | 2 | THURSDAY | 13 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 2 | NaN | 0.702312 | 0.684828 | 0.0 | 0.0 | 0.0 | 0.0 | -587.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 306076 | 454623 | 0 | Cash loans | F | N | N | 0 | 157500.0 | 1264428.0 | 33484.5 | 990000.0 | NaN | Commercial associate | Secondary / secondary special | Civil marriage | House / apartment | 0.019689 | -17125 | -815 | -551.000000 | -671 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 10 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | NaN | 0.318580 | 0.562060 | 3.0 | 0.0 | 3.0 | 0.0 | -3277.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 306126 | 454683 | 0 | Revolving loans | M | N | Y | 0 | 135000.0 | 270000.0 | 13500.0 | 0.0 | NaN | Commercial associate | Secondary / secondary special | Married | Municipal apartment | 0.046220 | -15406 | -427 | -8924.000000 | -4101 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 2.0 | 1 | 1 | THURSDAY | 16 | 0 | 1 | 1 | 0 | 1 | 1 | Security | 0.715165 | 0.675154 | 0.321735 | 0.0 | 0.0 | 0.0 | 0.0 | -188.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 306130 | 454688 | 0 | Cash loans | M | N | N | 0 | 157500.0 | 225000.0 | 6448.5 | 225000.0 | NaN | Working | Higher education | Single / not married | House / apartment | 0.019101 | -9234 | -1193 | -2854.000000 | -1192 | NaN | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 1.0 | 2 | 2 | FRIDAY | 18 | 0 | 0 | 0 | 0 | 0 | 0 | Bank | 0.486678 | 0.619327 | 0.410103 | 0.0 | 0.0 | 0.0 | 0.0 | -843.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 306273 | 454852 | 0 | Revolving loans | M | N | Y | 2 | 67500.0 | 202500.0 | 10125.0 | 0.0 | NaN | Working | Higher education | Married | House / apartment | 0.020713 | -14079 | -1648 | -2492.000000 | -4905 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 4.0 | 3 | 3 | THURSDAY | 6 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.411601 | 0.608328 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1154.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 306544 | 455158 | 0 | Cash loans | F | N | N | 0 | 180000.0 | 894825.0 | 23602.5 | 894825.0 | NaN | Commercial associate | Secondary / secondary special | Single / not married | House / apartment | 0.026392 | -19625 | -1634 | -12077.000000 | -721 | NaN | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 1.0 | 2 | 2 | MONDAY | 18 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.601387 | NaN | 4.0 | 0.0 | 4.0 | 0.0 | -363.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 306615 | 455245 | 0 | Cash loans | M | N | N | 0 | 180000.0 | 225000.0 | 8469.0 | 225000.0 | NaN | Commercial associate | Higher education | Married | House / apartment | 0.011703 | -20415 | -5351 | -12516.000000 | -3941 | NaN | 1 | 1 | 0 | 1 | 0 | 1 | Managers | 2.0 | 2 | 2 | WEDNESDAY | 18 | 0 | 0 | 0 | 0 | 0 | 0 | Trade: type 7 | 0.805366 | 0.709160 | 0.595456 | 0.0 | 0.0 | 0.0 | 0.0 | -2042.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 |
| 306636 | 455270 | 0 | Cash loans | M | Y | N | 2 | 189000.0 | 677664.0 | 21406.5 | 585000.0 | NaN | State servant | Higher education | Married | House / apartment | 0.018801 | -15010 | -417 | -81.000000 | -4588 | 20.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 4.0 | 2 | 2 | THURSDAY | 14 | 0 | 0 | 0 | 0 | 1 | 1 | University | 0.701244 | 0.611870 | 0.111756 | 8.0 | 0.0 | 8.0 | 0.0 | -918.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 306725 | 455367 | 0 | Cash loans | F | N | Y | 0 | 202500.0 | 755190.0 | 27985.5 | 675000.0 | NaN | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.046220 | -24336 | 365243 | -7653.000000 | -2940 | NaN | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 1 | 1 | THURSDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.769591 | 0.267869 | 0.0 | 0.0 | 0.0 | 0.0 | -1699.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 |
1292 rows × 75 columns
ap1["NAME_CONTRACT_TYPE"].value_counts()
Cash loans 1007 Revolving loans 285 Name: NAME_CONTRACT_TYPE, dtype: int64
Most of the missing entries with NAME TYPE SUITE is contract based on cash loans.
A cash loan is a loan which is received by the borrower in cash. This sets it apart from overdraft loans, installment loans and leases. Cash loans may be given to a private individual as a personal loan or to a business as a business loan
app["NAME_TYPE_SUITE"].value_counts()
Unaccompanied 248526 Family 40149 Spouse, partner 11370 Children 3267 Other_B 1770 Other_A 866 Group of people 271 Name: NAME_TYPE_SUITE, dtype: int64
### This column is a categorical variable, we can do the imputation with mode
app["NAME_TYPE_SUITE"].fillna(value = app["NAME_TYPE_SUITE"].mode()[0], inplace = True)
app["NAME_TYPE_SUITE"].isnull().sum()
0
app.columns[app.isna().any()]
Index(['AMT_ANNUITY', 'OWN_CAR_AGE', 'OCCUPATION_TYPE', 'CNT_FAM_MEMBERS',
'EXT_SOURCE_1', 'EXT_SOURCE_2', 'EXT_SOURCE_3',
'OBS_30_CNT_SOCIAL_CIRCLE', 'DEF_30_CNT_SOCIAL_CIRCLE',
'OBS_60_CNT_SOCIAL_CIRCLE', 'DEF_60_CNT_SOCIAL_CIRCLE',
'DAYS_LAST_PHONE_CHANGE', 'AMT_REQ_CREDIT_BUREAU_HOUR',
'AMT_REQ_CREDIT_BUREAU_DAY', 'AMT_REQ_CREDIT_BUREAU_WEEK',
'AMT_REQ_CREDIT_BUREAU_MON', 'AMT_REQ_CREDIT_BUREAU_QRT',
'AMT_REQ_CREDIT_BUREAU_YEAR'],
dtype='object')
#### Checking on next column 'OWN_CAR_AGE'
app["OWN_CAR_AGE"].isnull().value_counts()
True 202929 False 104582 Name: OWN_CAR_AGE, dtype: int64
app["OWN_CAR_AGE"].isnull().sum()/len(app)*100
65.9908100848425
app["OWN_CAR_AGE"].unique()
array([nan, 26., 17., 8., 23., 7., 14., 1., 3., 13., 10., 2., 21.,
20., 22., 65., 5., 11., 9., 4., 15., 12., 25., 6., 64., 0.,
27., 19., 28., 18., 16., 30., 36., 24., 39., 29., 40., 41., 31.,
42., 37., 35., 34., 33., 54., 38., 32., 43., 55., 49., 44., 63.,
46., 45., 48., 56., 51., 57., 69., 50., 47., 91., 52.])
app[app["FLAG_OWN_CAR"] == 'N'][["FLAG_OWN_CAR", "OWN_CAR_AGE"]].head()
| FLAG_OWN_CAR | OWN_CAR_AGE | |
|---|---|---|
| 0 | N | NaN |
| 1 | N | NaN |
| 3 | N | NaN |
| 4 | N | NaN |
| 5 | N | NaN |
### It appears the most of the people have no cars....we can impute the car age as zero since they dont own car
app["OWN_CAR_AGE"].fillna(value = 0, inplace =True)
app["OWN_CAR_AGE"].isnull().sum()
0
app.columns[app.isnull().any()]
Index(['AMT_ANNUITY', 'OCCUPATION_TYPE', 'CNT_FAM_MEMBERS', 'EXT_SOURCE_1',
'EXT_SOURCE_2', 'EXT_SOURCE_3', 'OBS_30_CNT_SOCIAL_CIRCLE',
'DEF_30_CNT_SOCIAL_CIRCLE', 'OBS_60_CNT_SOCIAL_CIRCLE',
'DEF_60_CNT_SOCIAL_CIRCLE', 'DAYS_LAST_PHONE_CHANGE',
'AMT_REQ_CREDIT_BUREAU_HOUR', 'AMT_REQ_CREDIT_BUREAU_DAY',
'AMT_REQ_CREDIT_BUREAU_WEEK', 'AMT_REQ_CREDIT_BUREAU_MON',
'AMT_REQ_CREDIT_BUREAU_QRT', 'AMT_REQ_CREDIT_BUREAU_YEAR'],
dtype='object')
app["OCCUPATION_TYPE"].unique()
array(['Laborers', 'Core staff', 'Accountants', 'Managers', nan,
'Drivers', 'Sales staff', 'Cleaning staff', 'Cooking staff',
'Private service staff', 'Medicine staff', 'Security staff',
'High skill tech staff', 'Waiters/barmen staff',
'Low-skill Laborers', 'Realty agents', 'Secretaries', 'IT staff',
'HR staff'], dtype=object)
app[app["OCCUPATION_TYPE"].isnull()]
| SK_ID_CURR | TARGET | NAME_CONTRACT_TYPE | CODE_GENDER | FLAG_OWN_CAR | FLAG_OWN_REALTY | CNT_CHILDREN | AMT_INCOME_TOTAL | AMT_CREDIT | AMT_ANNUITY | AMT_GOODS_PRICE | NAME_TYPE_SUITE | NAME_INCOME_TYPE | NAME_EDUCATION_TYPE | NAME_FAMILY_STATUS | NAME_HOUSING_TYPE | REGION_POPULATION_RELATIVE | DAYS_BIRTH | DAYS_EMPLOYED | DAYS_REGISTRATION | DAYS_ID_PUBLISH | OWN_CAR_AGE | FLAG_MOBIL | FLAG_EMP_PHONE | FLAG_WORK_PHONE | FLAG_CONT_MOBILE | FLAG_PHONE | FLAG_EMAIL | OCCUPATION_TYPE | CNT_FAM_MEMBERS | REGION_RATING_CLIENT | REGION_RATING_CLIENT_W_CITY | WEEKDAY_APPR_PROCESS_START | HOUR_APPR_PROCESS_START | REG_REGION_NOT_LIVE_REGION | REG_REGION_NOT_WORK_REGION | LIVE_REGION_NOT_WORK_REGION | REG_CITY_NOT_LIVE_CITY | REG_CITY_NOT_WORK_CITY | LIVE_CITY_NOT_WORK_CITY | ORGANIZATION_TYPE | EXT_SOURCE_1 | EXT_SOURCE_2 | EXT_SOURCE_3 | OBS_30_CNT_SOCIAL_CIRCLE | DEF_30_CNT_SOCIAL_CIRCLE | OBS_60_CNT_SOCIAL_CIRCLE | DEF_60_CNT_SOCIAL_CIRCLE | DAYS_LAST_PHONE_CHANGE | FLAG_DOCUMENT_2 | FLAG_DOCUMENT_3 | FLAG_DOCUMENT_4 | FLAG_DOCUMENT_5 | FLAG_DOCUMENT_6 | FLAG_DOCUMENT_7 | FLAG_DOCUMENT_8 | FLAG_DOCUMENT_9 | FLAG_DOCUMENT_10 | FLAG_DOCUMENT_11 | FLAG_DOCUMENT_12 | FLAG_DOCUMENT_13 | FLAG_DOCUMENT_14 | FLAG_DOCUMENT_15 | FLAG_DOCUMENT_16 | FLAG_DOCUMENT_17 | FLAG_DOCUMENT_18 | FLAG_DOCUMENT_19 | FLAG_DOCUMENT_20 | FLAG_DOCUMENT_21 | AMT_REQ_CREDIT_BUREAU_HOUR | AMT_REQ_CREDIT_BUREAU_DAY | AMT_REQ_CREDIT_BUREAU_WEEK | AMT_REQ_CREDIT_BUREAU_MON | AMT_REQ_CREDIT_BUREAU_QRT | AMT_REQ_CREDIT_BUREAU_YEAR | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 8 | 100011 | 0 | Cash loans | F | N | Y | 0 | 112500.000 | 1019610.0 | 33826.5 | 913500.0 | Children | Pensioner | Secondary / secondary special | Married | House / apartment | 0.018634 | -20099 | 365243 | -7427.0 | -3514 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.587334 | 0.205747 | 0.751724 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 11 | 100015 | 0 | Cash loans | F | N | Y | 0 | 38419.155 | 148365.0 | 10678.5 | 135000.0 | Children | Pensioner | Secondary / secondary special | Married | House / apartment | 0.015221 | -20417 | 365243 | -5246.0 | -2512 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 7 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.722044 | 0.555183 | 0.652897 | 0.0 | 0.0 | 0.0 | 0.0 | -2396.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 23 | 100027 | 0 | Cash loans | F | N | Y | 0 | 83250.000 | 239850.0 | 23850.0 | 225000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.006296 | -24827 | 365243 | -9012.0 | -3684 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 3 | 3 | FRIDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.624305 | 0.669057 | 0.0 | 0.0 | 0.0 | 0.0 | -795.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 28 | 100033 | 0 | Cash loans | M | Y | Y | 0 | 270000.000 | 790830.0 | 57676.5 | 675000.0 | Unaccompanied | State servant | Higher education | Single / not married | House / apartment | 0.046220 | -9994 | -1796 | -4668.0 | -2661 | 1.0 | 1 | 1 | 0 | 1 | 0 | 1 | NaN | 1.0 | 1 | 1 | WEDNESDAY | 11 | 0 | 1 | 1 | 0 | 0 | 0 | Military | 0.600396 | 0.685011 | 0.524496 | 0.0 | 0.0 | 0.0 | 0.0 | -849.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 |
| 30 | 100035 | 0 | Cash loans | F | N | Y | 0 | 292500.000 | 665892.0 | 24592.5 | 477000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Civil marriage | House / apartment | 0.025164 | -15280 | -2668 | -5266.0 | -3787 | 0.0 | 1 | 1 | 0 | 1 | 0 | 1 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.479987 | 0.410103 | 0.0 | 0.0 | 0.0 | 0.0 | -1634.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 5.0 |
| 38 | 100045 | 0 | Cash loans | F | N | Y | 0 | 99000.000 | 247275.0 | 17338.5 | 225000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.006207 | -23920 | 365243 | -9817.0 | -4969 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.650765 | 0.751724 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 43 | 100050 | 0 | Cash loans | F | N | Y | 0 | 108000.000 | 746280.0 | 42970.5 | 675000.0 | Unaccompanied | Pensioner | Higher education | Single / not married | House / apartment | 0.010966 | -23548 | 365243 | -5745.0 | -4576 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | WEDNESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.766138 | 0.684828 | 0.0 | 0.0 | 0.0 | 0.0 | -491.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 44 | 100051 | 0 | Cash loans | M | N | Y | 0 | 202500.000 | 661702.5 | 48280.5 | 598500.0 | Unaccompanied | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.007114 | -9827 | -758 | -4166.0 | -2380 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 12 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | NaN | 0.631519 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -556.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 46 | 100053 | 0 | Cash loans | F | N | Y | 0 | 202500.000 | 305221.5 | 17649.0 | 252000.0 | Family | Pensioner | Secondary / secondary special | Single / not married | House / apartment | 0.019689 | -20373 | 365243 | -7760.0 | -1993 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | MONDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.247665 | 0.475850 | 0.0 | 0.0 | 0.0 | 0.0 | -649.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 4.0 |
| 52 | 100060 | 0 | Cash loans | M | Y | N | 0 | 76500.000 | 454500.0 | 14661.0 | 454500.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.028663 | -12282 | -778 | -1824.0 | -1992 | 13.0 | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Emergency | 0.244562 | 0.705947 | 0.799297 | 4.0 | 0.0 | 4.0 | 0.0 | -466.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 54 | 100062 | 0 | Cash loans | M | Y | N | 0 | 81000.000 | 675000.0 | 32472.0 | 675000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.010006 | -18611 | 365243 | -6936.0 | -2142 | 8.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.662865 | 0.738020 | 0.0 | 0.0 | 0.0 | 0.0 | -462.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 56 | 100064 | 0 | Cash loans | F | N | N | 0 | 67500.000 | 298728.0 | 15381.0 | 202500.0 | Family | Pensioner | Secondary / secondary special | Single / not married | Municipal apartment | 0.019101 | -21621 | 365243 | -2019.0 | -1344 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | MONDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.622708 | 0.169429 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 62 | 100073 | 0 | Cash loans | M | Y | Y | 0 | 324000.000 | 1130760.0 | 40189.5 | 810000.0 | Unaccompanied | Pensioner | Higher education | Civil marriage | House / apartment | 0.018850 | -22843 | 365243 | -1042.0 | -3967 | 10.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.733051 | 0.234015 | 0.0 | 0.0 | 0.0 | 0.0 | -2385.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 63 | 100075 | 0 | Cash loans | F | N | N | 0 | 112500.000 | 95940.0 | 10462.5 | 90000.0 | Family | Working | Higher education | Single / not married | House / apartment | 0.004960 | -12240 | -3720 | -5246.0 | -4541 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | MONDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | University | 0.299606 | 0.664544 | 0.492060 | 0.0 | 0.0 | 0.0 | 0.0 | -280.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 |
| 76 | 100088 | 0 | Revolving loans | F | N | N | 0 | 112500.000 | 135000.0 | 6750.0 | 135000.0 | Unaccompanied | Commercial associate | Higher education | Married | House / apartment | 0.022800 | -19467 | -4066 | -4623.0 | -2975 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | School | NaN | 0.585174 | 0.408359 | 0.0 | 0.0 | 0.0 | 0.0 | -1537.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 79 | 100094 | 0 | Cash loans | F | N | Y | 0 | 108000.000 | 113760.0 | 5301.0 | 90000.0 | Unaccompanied | Pensioner | Higher education | Single / not married | House / apartment | 0.030755 | -22935 | 365243 | -12623.0 | -3442 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | THURSDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.582735 | 0.452534 | 3.0 | 0.0 | 3.0 | 0.0 | -260.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 81 | 100096 | 1 | Cash loans | F | N | Y | 0 | 81000.000 | 252000.0 | 14593.5 | 252000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.028663 | -24794 | 365243 | -5391.0 | -4199 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.023952 | 0.720944 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 82 | 100097 | 0 | Cash loans | M | Y | Y | 0 | 157500.000 | 760225.5 | 30280.5 | 679500.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.035792 | -17527 | -2442 | -3500.0 | -983 | 20.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 10 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | NaN | 0.357342 | 0.644679 | 6.0 | 0.0 | 6.0 | 0.0 | -371.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 |
| 84 | 100099 | 0 | Cash loans | F | N | Y | 0 | 360000.000 | 733315.5 | 41076.0 | 679500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Separated | House / apartment | 0.009175 | -23032 | 365243 | -9506.0 | -793 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | THURSDAY | 12 | 1 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.660579 | 0.342529 | 4.0 | 0.0 | 4.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 88 | 100103 | 0 | Cash loans | F | N | Y | 0 | 72000.000 | 450000.0 | 16965.0 | 450000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.009175 | -21112 | -1694 | -6057.0 | -4013 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | School | NaN | 0.718058 | 0.511892 | 4.0 | 0.0 | 4.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 94 | 100112 | 1 | Cash loans | M | Y | Y | 0 | 315000.000 | 953460.0 | 64107.0 | 900000.0 | Family | Commercial associate | Incomplete higher | Single / not married | With parents | 0.030755 | -10199 | -2015 | -4802.0 | -1038 | 2.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | SUNDAY | 13 | 0 | 0 | 0 | 0 | 1 | 1 | Industry: type 4 | NaN | 0.432340 | 0.077499 | 0.0 | 0.0 | 0.0 | 0.0 | -591.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 97 | 100115 | 0 | Cash loans | F | N | N | 0 | 90000.000 | 315000.0 | 14683.5 | 315000.0 | Spouse, partner | Working | Secondary / secondary special | Married | House / apartment | 0.028663 | -15371 | -367 | -3071.0 | -4211 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | SUNDAY | 11 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | NaN | 0.334300 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -40.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 2.0 |
| 99 | 100118 | 0 | Cash loans | F | N | Y | 0 | 90000.000 | 675000.0 | 26541.0 | 675000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.026392 | -22471 | 365243 | -217.0 | -4323 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | TUESDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.626303 | NaN | 3.0 | 2.0 | 3.0 | 1.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 105 | 100124 | 0 | Cash loans | M | N | Y | 0 | 225000.000 | 448272.0 | 28647.0 | 396000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.072508 | -24051 | 365243 | -7040.0 | -4053 | 0.0 | 1 | 0 | 0 | 1 | 1 | 1 | NaN | 1.0 | 1 | 1 | WEDNESDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.710318 | 0.554947 | 0.0 | 0.0 | 0.0 | 0.0 | -1080.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 8.0 |
| 106 | 100125 | 0 | Cash loans | F | N | N | 0 | 126000.000 | 263686.5 | 26208.0 | 238500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.009549 | -21613 | 365243 | -2376.0 | -2434 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | MONDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.571331 | 0.554947 | 0.0 | 0.0 | 0.0 | 0.0 | -1165.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 107 | 100126 | 0 | Revolving loans | M | N | Y | 2 | 135000.000 | 180000.0 | 9000.0 | 180000.0 | Family | Working | Secondary / secondary special | Married | House / apartment | 0.046220 | -12900 | -782 | -2124.0 | -3888 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 4.0 | 1 | 1 | FRIDAY | 21 | 0 | 0 | 0 | 0 | 1 | 1 | Transport: type 4 | NaN | 0.705093 | 0.574447 | 1.0 | 1.0 | 1.0 | 1.0 | -1091.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 108 | 100127 | 0 | Cash loans | M | N | Y | 0 | 112500.000 | 52128.0 | 5341.5 | 45000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.024610 | -21341 | 365243 | -10150.0 | -1403 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 7 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.687003 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -2279.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 109 | 100129 | 0 | Revolving loans | F | Y | Y | 1 | 85500.000 | 135000.0 | 6750.0 | 135000.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.018029 | -9415 | -225 | -4066.0 | -2104 | 5.0 | 1 | 1 | 0 | 0 | 0 | 0 | NaN | 3.0 | 3 | 2 | MONDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 1 | 0.479544 | 0.610207 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 117 | 100137 | 0 | Cash loans | F | Y | Y | 0 | 225000.000 | 891072.0 | 45625.5 | 720000.0 | Family | Pensioner | Secondary / secondary special | Married | House / apartment | 0.020246 | -20284 | 365243 | -1990.0 | -2556 | 2.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 3 | FRIDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.886487 | 0.086719 | NaN | 12.0 | 0.0 | 12.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 118 | 100138 | 0 | Cash loans | M | Y | N | 0 | 135000.000 | 824823.0 | 29223.0 | 688500.0 | Unaccompanied | Pensioner | Higher education | Married | House / apartment | 0.046220 | -14339 | 365243 | -1104.0 | -4620 | 5.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 1 | 1 | TUESDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.667496 | 0.607562 | 0.572683 | 0.0 | 0.0 | 0.0 | 0.0 | -242.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 119 | 100139 | 0 | Cash loans | F | N | N | 1 | 157500.000 | 302341.5 | 24016.5 | 261000.0 | Family | Working | Secondary / secondary special | Married | House / apartment | 0.010276 | -13286 | -2305 | -6685.0 | -4955 | 0.0 | 1 | 1 | 0 | 1 | 0 | 1 | NaN | 3.0 | 2 | 2 | WEDNESDAY | 10 | 0 | 0 | 0 | 1 | 1 | 0 | Business Entity Type 3 | 0.567775 | 0.601408 | 0.096319 | 6.0 | 0.0 | 6.0 | 0.0 | -1868.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 3.0 |
| 125 | 100146 | 0 | Cash loans | M | Y | Y | 0 | 117000.000 | 327024.0 | 12456.0 | 270000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.007330 | -22959 | 365243 | -1730.0 | -4047 | 13.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.282326 | 0.755740 | 2.0 | 0.0 | 2.0 | 0.0 | -909.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 135 | 100157 | 0 | Cash loans | M | N | Y | 0 | 180000.000 | 1755000.0 | 61132.5 | 1755000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.014520 | -16086 | -1549 | -3174.0 | -4584 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | MONDAY | 7 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.867872 | 0.147685 | 0.669057 | 3.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 |
| 140 | 100162 | 0 | Cash loans | F | N | Y | 0 | 112500.000 | 547344.0 | 18216.0 | 472500.0 | Family | Pensioner | Secondary / secondary special | Single / not married | House / apartment | 0.020246 | -21061 | 365243 | -5439.0 | -4488 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 3 | 3 | MONDAY | 6 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.593567 | 0.598243 | 0.232725 | 1.0 | 1.0 | 1.0 | 1.0 | -1594.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 141 | 100163 | 0 | Cash loans | F | N | Y | 0 | 130500.000 | 550489.5 | 19773.0 | 454500.0 | Unaccompanied | Working | Higher education | Separated | House / apartment | 0.018209 | -19718 | -5717 | -8940.0 | -3200 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 1.0 | 3 | 3 | FRIDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.656938 | 0.390993 | 0.095070 | 5.0 | 0.0 | 5.0 | 0.0 | -1691.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 143 | 100165 | 0 | Cash loans | F | Y | Y | 0 | 175500.000 | 1293502.5 | 35568.0 | 1129500.0 | Family | Pensioner | Secondary / secondary special | Married | House / apartment | 0.018850 | -21961 | 365243 | -8887.0 | -4379 | 9.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.531106 | 0.646689 | 0.812823 | 0.0 | 0.0 | 0.0 | 0.0 | -396.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 145 | 100167 | 0 | Cash loans | F | N | Y | 0 | 180000.000 | 427500.0 | 46170.0 | 427500.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Civil marriage | House / apartment | 0.026392 | -15127 | -1039 | -4221.0 | -652 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 16 | 0 | 0 | 0 | 0 | 1 | 1 | Hotel | NaN | 0.551308 | 0.161463 | 0.0 | 0.0 | 0.0 | 0.0 | -1914.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 148 | 100175 | 0 | Cash loans | F | N | Y | 1 | 202500.000 | 1251072.0 | 45067.5 | 1080000.0 | Unaccompanied | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.010147 | -16296 | -266 | -164.0 | -4568 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 3.0 | 2 | 2 | TUESDAY | 19 | 0 | 0 | 0 | 0 | 0 | 0 | Industry: type 7 | 0.580367 | 0.763649 | 0.329655 | 0.0 | 0.0 | 0.0 | 0.0 | -1683.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 150 | 100177 | 0 | Cash loans | M | N | N | 1 | 112500.000 | 312682.5 | 33309.0 | 297000.0 | Family | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.010643 | -14311 | -334 | -8401.0 | -4248 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 3.0 | 2 | 2 | THURSDAY | 10 | 0 | 1 | 1 | 0 | 1 | 1 | Self-employed | 0.319357 | 0.603655 | 0.595456 | 0.0 | 0.0 | 0.0 | 0.0 | -328.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 151 | 100178 | 0 | Cash loans | F | N | Y | 0 | 119250.000 | 679500.0 | 28917.0 | 679500.0 | Unaccompanied | Working | Higher education | Separated | House / apartment | 0.008866 | -19286 | -1485 | -7887.0 | -2835 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | MONDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.723371 | 0.765125 | 0.417100 | 0.0 | 0.0 | 0.0 | 0.0 | -2085.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 156 | 100183 | 0 | Cash loans | F | N | Y | 0 | 103500.000 | 239850.0 | 23494.5 | 225000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Separated | House / apartment | 0.018634 | -24729 | 365243 | -4047.0 | -4523 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | THURSDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.600433 | 0.795803 | 0.0 | 0.0 | 0.0 | 0.0 | -1183.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 157 | 100185 | 0 | Cash loans | M | N | Y | 0 | 58500.000 | 187704.0 | 10903.5 | 148500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.018029 | -20215 | 365243 | -3508.0 | -3558 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 2 | SATURDAY | 7 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.557348 | 0.771362 | 1.0 | 0.0 | 1.0 | 0.0 | -1792.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 |
| 158 | 100186 | 0 | Cash loans | F | N | Y | 0 | 117000.000 | 269550.0 | 13095.0 | 225000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Single / not married | House / apartment | 0.007020 | -21861 | 365243 | -830.0 | -4830 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | TUESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.641304 | 0.519097 | 4.0 | 0.0 | 4.0 | 0.0 | -2025.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 164 | 100193 | 0 | Cash loans | F | Y | N | 0 | 225000.000 | 296280.0 | 15124.5 | 225000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Separated | House / apartment | 0.020246 | -17879 | -940 | -2294.0 | -1441 | 15.0 | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 1.0 | 3 | 3 | SUNDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.731105 | 0.748854 | 0.508287 | 1.0 | 0.0 | 1.0 | 0.0 | -2553.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 6.0 |
| 166 | 100195 | 0 | Cash loans | M | Y | Y | 0 | 90000.000 | 336150.0 | 9373.5 | 202500.0 | Unaccompanied | Commercial associate | Higher education | Single / not married | House / apartment | 0.030755 | -10887 | -341 | -5333.0 | -2828 | 8.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | FRIDAY | 12 | 0 | 0 | 0 | 0 | 1 | 1 | Trade: type 3 | 0.356355 | 0.547773 | 0.749022 | 0.0 | 0.0 | 0.0 | 0.0 | -114.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 171 | 100200 | 0 | Cash loans | F | N | N | 0 | 216000.000 | 450000.0 | 27193.5 | 450000.0 | Unaccompanied | Working | Secondary / secondary special | Widow | House / apartment | 0.026392 | -16891 | -2730 | -7519.0 | -434 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | MONDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.640041 | 0.694093 | 4.0 | 0.0 | 3.0 | 0.0 | -332.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 173 | 100202 | 0 | Cash loans | F | N | N | 0 | 67500.000 | 127350.0 | 6597.0 | 112500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Single / not married | House / apartment | 0.019101 | -22994 | 365243 | -9705.0 | -4078 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | TUESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.121906 | 0.269286 | 2.0 | 0.0 | 2.0 | 0.0 | -632.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 5.0 |
| 174 | 100203 | 0 | Cash loans | F | N | N | 0 | 54000.000 | 119925.0 | 11097.0 | 112500.0 | Other_B | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.010276 | -25104 | 365243 | -4182.0 | -4210 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | TUESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.640514 | 0.544235 | 0.0 | 0.0 | 0.0 | 0.0 | -2.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 175 | 100204 | 0 | Cash loans | F | N | Y | 1 | 81000.000 | 532494.0 | 30699.0 | 454500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.009334 | -19525 | 365243 | -5077.0 | -1589 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 3.0 | 2 | 2 | WEDNESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.171535 | 0.540654 | 0.0 | 0.0 | 0.0 | 0.0 | -7.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 |
| 184 | 100214 | 1 | Cash loans | F | N | Y | 1 | 202500.000 | 436032.0 | 28516.5 | 360000.0 | Unaccompanied | Commercial associate | Higher education | Civil marriage | House / apartment | 0.032561 | -10127 | -111 | -1724.0 | -337 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 3.0 | 1 | 1 | WEDNESDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.500231 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -130.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 185 | 100215 | 0 | Cash loans | F | Y | N | 0 | 90000.000 | 227520.0 | 8172.0 | 180000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Civil marriage | House / apartment | 0.025164 | -21703 | 365243 | -9849.0 | -4980 | 11.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.265312 | 0.641368 | 0.0 | 0.0 | 0.0 | 0.0 | -2028.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 5.0 | 0.0 | 5.0 |
| 191 | 100221 | 0 | Cash loans | F | N | Y | 0 | 225000.000 | 684054.0 | 77494.5 | 630000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Widow | House / apartment | 0.006629 | -23656 | -11883 | -7125.0 | -4681 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | TUESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Bank | NaN | 0.592459 | 0.736623 | 0.0 | 0.0 | 0.0 | 0.0 | -584.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 |
| 192 | 100224 | 0 | Cash loans | F | Y | Y | 2 | 225000.000 | 1256400.0 | 36864.0 | 900000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.019689 | -14091 | -5664 | -8127.0 | -2462 | 7.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 4.0 | 2 | 2 | TUESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.598632 | 0.344155 | 4.0 | 2.0 | 4.0 | 2.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 200 | 100233 | 0 | Cash loans | F | N | Y | 0 | 216000.000 | 679671.0 | 28926.0 | 607500.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.010966 | -18341 | -701 | -9730.0 | -1876 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Transport: type 4 | NaN | 0.201584 | 0.609276 | 1.0 | 1.0 | 1.0 | 0.0 | -2071.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 8.0 |
| 213 | 100248 | 0 | Cash loans | F | N | Y | 0 | 90000.000 | 808650.0 | 23643.0 | 675000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Civil marriage | House / apartment | 0.007305 | -22389 | 365243 | -12314.0 | -4884 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 3 | WEDNESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.223495 | 0.456110 | 1.0 | 0.0 | 1.0 | 0.0 | -1386.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 220 | 100257 | 0 | Cash loans | F | N | Y | 0 | 90000.000 | 312768.0 | 16119.0 | 270000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Single / not married | House / apartment | 0.018634 | -23090 | 365243 | -7062.0 | -2979 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | TUESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.518701 | 0.730987 | 3.0 | 1.0 | 3.0 | 1.0 | -2568.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 222 | 100259 | 0 | Cash loans | M | Y | Y | 0 | 180000.000 | 427500.0 | 21955.5 | 427500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.018209 | -20672 | 365243 | -3315.0 | -3299 | 25.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 3 | FRIDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.379162 | 0.379100 | 2.0 | 0.0 | 2.0 | 0.0 | -1838.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 226 | 100263 | 0 | Cash loans | F | N | Y | 0 | 108000.000 | 585000.0 | 32665.5 | 585000.0 | Family | Pensioner | Higher education | Widow | House / apartment | 0.009549 | -23456 | 365243 | -2267.0 | -4483 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | THURSDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.770814 | 0.235314 | 0.270707 | 0.0 | 0.0 | 0.0 | 0.0 | -2255.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 227 | 100264 | 0 | Cash loans | F | N | Y | 0 | 121500.000 | 1215000.0 | 48186.0 | 1215000.0 | Unaccompanied | Pensioner | Higher education | Married | House / apartment | 0.018209 | -23037 | 365243 | -2017.0 | -4082 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 3 | SATURDAY | 7 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.305150 | 0.695622 | 0.0 | 0.0 | 0.0 | 0.0 | -2435.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 229 | 100266 | 0 | Cash loans | F | N | N | 0 | 157500.000 | 1256400.0 | 36864.0 | 900000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Widow | Municipal apartment | 0.032561 | -18810 | -995 | -9761.0 | -2290 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 1.0 | 1 | 1 | FRIDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.695817 | 0.713631 | 2.0 | 1.0 | 2.0 | 1.0 | -1388.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 233 | 100270 | 0 | Revolving loans | F | N | Y | 0 | 90000.000 | 337500.0 | 16875.0 | 337500.0 | Unaccompanied | Pensioner | Higher education | Married | House / apartment | 0.032561 | -21497 | 365243 | -14502.0 | -4288 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 1 | 1 | TUESDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.714056 | 0.750375 | 0.0 | 0.0 | 0.0 | 0.0 | -2124.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 237 | 100275 | 0 | Cash loans | F | Y | Y | 0 | 108000.000 | 646920.0 | 18670.5 | 540000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.019101 | -23650 | 365243 | -11380.0 | -4923 | 64.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | SUNDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.731907 | 0.720944 | 0.0 | 0.0 | 0.0 | 0.0 | -1563.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 239 | 100277 | 0 | Cash loans | M | Y | N | 0 | 67500.000 | 364896.0 | 16200.0 | 315000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.006008 | -21812 | 365243 | -12539.0 | -5030 | 13.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 19 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.856740 | 0.574514 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -318.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 240 | 100279 | 0 | Cash loans | M | N | Y | 0 | 180000.000 | 254700.0 | 16407.0 | 225000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.072508 | -23946 | 365243 | -6935.0 | -3948 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 1 | 1 | WEDNESDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.458685 | 0.528093 | 0.0 | 0.0 | 0.0 | 0.0 | -975.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 5.0 |
| 247 | 100287 | 0 | Cash loans | F | N | Y | 0 | 202500.000 | 225000.0 | 22383.0 | 225000.0 | Family | Pensioner | Higher education | Married | House / apartment | 0.026392 | -24891 | 365243 | -2120.0 | -2019 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.655530 | NaN | 5.0 | 0.0 | 5.0 | 0.0 | -648.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 252 | 100292 | 0 | Cash loans | F | N | Y | 0 | 202500.000 | 675000.0 | 29862.0 | 675000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.028663 | -21185 | 365243 | -1702.0 | -4229 | 0.0 | 1 | 0 | 0 | 1 | 0 | 1 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.065452 | 0.549597 | 3.0 | 2.0 | 3.0 | 1.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 263 | 100303 | 0 | Cash loans | F | N | Y | 0 | 292500.000 | 254700.0 | 15709.5 | 225000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.016612 | -24006 | 365243 | -2239.0 | -4447 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | WEDNESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.282490 | 0.410103 | 1.0 | 0.0 | 1.0 | 0.0 | -609.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 |
| 264 | 100304 | 0 | Revolving loans | F | N | Y | 0 | 225000.000 | 675000.0 | 33750.0 | 675000.0 | Unaccompanied | Working | Secondary / secondary special | Single / not married | House / apartment | 0.008019 | -22794 | -15632 | -7959.0 | -4311 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | TUESDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.654943 | 0.795803 | 0.0 | 0.0 | 0.0 | 0.0 | -1121.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 269 | 100310 | 0 | Cash loans | M | N | N | 0 | 180000.000 | 1071000.0 | 31315.5 | 1071000.0 | Unaccompanied | Working | Higher education | Married | Rented apartment | 0.018029 | -14659 | -1228 | -688.0 | -1107 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 2.0 | 3 | 3 | WEDNESDAY | 13 | 0 | 0 | 0 | 1 | 1 | 1 | Business Entity Type 3 | NaN | 0.160158 | 0.438281 | 0.0 | 0.0 | 0.0 | 0.0 | -89.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 |
| 270 | 100313 | 0 | Cash loans | F | N | Y | 0 | 87750.000 | 1206954.0 | 35419.5 | 945000.0 | Unaccompanied | Pensioner | Higher education | Married | House / apartment | 0.019101 | -22510 | 365243 | -6983.0 | -4765 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.707841 | 0.664248 | 0.0 | 0.0 | 0.0 | 0.0 | -2379.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 276 | 100319 | 0 | Cash loans | F | N | Y | 1 | 135000.000 | 781920.0 | 32868.0 | 675000.0 | Unaccompanied | Commercial associate | Higher education | Married | House / apartment | 0.022625 | -11631 | -782 | -7868.0 | -2992 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 3.0 | 2 | 2 | THURSDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.653368 | 0.565290 | 0.495666 | 0.0 | 0.0 | 0.0 | 0.0 | -2028.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 278 | 100321 | 0 | Cash loans | M | Y | N | 1 | 270000.000 | 521280.0 | 31500.0 | 450000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Civil marriage | House / apartment | 0.019689 | -13534 | -1420 | -1602.0 | -4133 | 1.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 3.0 | 2 | 2 | MONDAY | 9 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | NaN | 0.633608 | 0.210350 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 283 | 100326 | 1 | Cash loans | M | Y | Y | 0 | 36000.000 | 284400.0 | 10849.5 | 225000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Civil marriage | House / apartment | 0.018209 | -22078 | 365243 | -6748.0 | -4542 | 27.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 3 | 3 | MONDAY | 7 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.063455 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 284 | 100327 | 0 | Cash loans | M | Y | Y | 0 | 180000.000 | 407727.0 | 32341.5 | 333000.0 | Family | Working | Secondary / secondary special | Married | House / apartment | 0.020713 | -20317 | -2334 | -10946.0 | -3680 | 3.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 3 | TUESDAY | 11 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | NaN | 0.395245 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1858.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 9.0 |
| 286 | 100329 | 0 | Cash loans | F | Y | Y | 0 | 135000.000 | 247275.0 | 17716.5 | 225000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.006852 | -19997 | -645 | -2391.0 | -3399 | 19.0 | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 2.0 | 3 | 3 | FRIDAY | 8 | 0 | 1 | 1 | 0 | 1 | 1 | Business Entity Type 3 | NaN | 0.081311 | 0.629674 | 1.0 | 0.0 | 1.0 | 0.0 | -1477.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 287 | 100332 | 0 | Cash loans | F | N | Y | 0 | 157500.000 | 545040.0 | 20677.5 | 450000.0 | Family | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.031329 | -23444 | 365243 | -14604.0 | -4655 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | THURSDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.119843 | 0.331251 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 290 | 100335 | 0 | Cash loans | F | N | Y | 0 | 63000.000 | 675000.0 | 19737.0 | 675000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.035792 | -23420 | 365243 | -14293.0 | -4749 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | MONDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.703773 | 0.735221 | 0.0 | 0.0 | 0.0 | 0.0 | -1331.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 302 | 100347 | 0 | Cash loans | F | N | N | 0 | 81000.000 | 640080.0 | 23121.0 | 450000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.018801 | -21419 | 365243 | -13511.0 | -4287 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | SATURDAY | 7 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.531341 | 0.713631 | 0.0 | 0.0 | 0.0 | 0.0 | -494.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 303 | 100348 | 0 | Cash loans | F | N | N | 0 | 135000.000 | 1223010.0 | 47983.5 | 1125000.0 | Unaccompanied | Working | Incomplete higher | Married | House / apartment | 0.032561 | -10390 | -370 | -8697.0 | -1864 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 1 | 1 | FRIDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.598658 | 0.672243 | 0.0 | 0.0 | 0.0 | 0.0 | -6.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 304 | 100349 | 0 | Cash loans | F | N | N | 0 | 108000.000 | 364896.0 | 23449.5 | 315000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | Municipal apartment | 0.009334 | -23338 | 365243 | -11761.0 | -4820 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | FRIDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.672712 | 0.297087 | 0.0 | 0.0 | 0.0 | 0.0 | -669.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 305 | 100350 | 0 | Cash loans | F | N | Y | 0 | 112500.000 | 481495.5 | 31833.0 | 454500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.010500 | -22759 | 365243 | -124.0 | -2596 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 3 | 3 | MONDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.501308 | 0.600658 | 0.0 | 0.0 | 0.0 | 0.0 | -1711.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 306 | 100351 | 0 | Cash loans | F | N | N | 0 | 69750.000 | 675000.0 | 20596.5 | 675000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.014520 | -22606 | 365243 | -930.0 | -4475 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.666442 | 0.456110 | 2.0 | 0.0 | 2.0 | 0.0 | -957.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 309 | 100355 | 0 | Cash loans | M | N | Y | 0 | 315000.000 | 946503.0 | 42898.5 | 846000.0 | Unaccompanied | Working | Secondary / secondary special | Married | With parents | 0.003813 | -9178 | -633 | -4829.0 | -1622 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | MONDAY | 10 | 0 | 1 | 1 | 0 | 1 | 1 | Business Entity Type 2 | NaN | 0.184220 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -223.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 313 | 100360 | 0 | Revolving loans | F | N | N | 0 | 67500.000 | 202500.0 | 10125.0 | 202500.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.025164 | -19676 | -4483 | -5545.0 | -3236 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Housing | 0.861626 | 0.756108 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1232.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 2.0 |
| 318 | 100365 | 0 | Cash loans | F | N | Y | 0 | 247500.000 | 517788.0 | 19647.0 | 427500.0 | Unaccompanied | Pensioner | Higher education | Married | House / apartment | 0.010032 | -20435 | 365243 | -2565.0 | -3916 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 4 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.669967 | 0.263647 | 0.0 | 0.0 | 0.0 | 0.0 | -358.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 4.0 |
| 320 | 100368 | 0 | Cash loans | F | N | Y | 0 | 166500.000 | 675000.0 | 24246.0 | 675000.0 | Family | Working | Secondary / secondary special | Married | House / apartment | 0.035792 | -11285 | -3473 | -1929.0 | -3094 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.393172 | 0.689565 | 0.431192 | 4.0 | 0.0 | 4.0 | 0.0 | -398.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 |
| 322 | 100370 | 0 | Cash loans | F | N | Y | 0 | 45000.000 | 448056.0 | 16222.5 | 315000.0 | Children | Pensioner | Secondary / secondary special | Married | House / apartment | 0.028663 | -23195 | 365243 | -9513.0 | -4535 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.176041 | 0.595456 | 8.0 | 2.0 | 7.0 | 0.0 | -1088.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 4.0 |
| 324 | 100372 | 0 | Cash loans | F | N | N | 0 | 90000.000 | 531000.0 | 29781.0 | 531000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.015221 | -21909 | 365243 | -2319.0 | -4279 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.673737 | 0.465069 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 327 | 100375 | 0 | Cash loans | M | N | Y | 0 | 180000.000 | 942300.0 | 30528.0 | 675000.0 | Unaccompanied | Commercial associate | Higher education | Married | House / apartment | 0.006305 | -21552 | -2672 | -13057.0 | -4188 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 2.0 | 3 | 3 | WEDNESDAY | 7 | 0 | 0 | 0 | 0 | 0 | 0 | Transport: type 1 | NaN | 0.291624 | 0.377404 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 333 | 100381 | 0 | Cash loans | F | N | N | 0 | 121500.000 | 302544.0 | 11533.5 | 198000.0 | Unaccompanied | Commercial associate | Higher education | Single / not married | With parents | 0.018029 | -11223 | -107 | -5619.0 | -3755 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 1.0 | 3 | 3 | SATURDAY | 8 | 0 | 1 | 1 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.731130 | NaN | 3.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 342 | 100394 | 0 | Cash loans | M | N | Y | 0 | 112500.000 | 178290.0 | 11034.0 | 157500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.035792 | -23721 | 365243 | -3367.0 | -5013 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.657464 | NaN | 8.0 | 0.0 | 8.0 | 0.0 | -1779.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 344 | 100396 | 1 | Cash loans | M | N | N | 0 | 112500.000 | 417024.0 | 25330.5 | 360000.0 | Family | Pensioner | Secondary / secondary special | Single / not married | House / apartment | 0.025164 | -13707 | 365243 | -7809.0 | -4436 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | SATURDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.293988 | 0.115387 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 347 | 100400 | 0 | Cash loans | F | N | N | 0 | 270000.000 | 536917.5 | 28467.0 | 463500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.020246 | -23187 | 365243 | -13629.0 | -4573 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 3 | THURSDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.442295 | 0.802745 | 0.0 | 0.0 | 0.0 | 0.0 | -1553.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 348 | 100401 | 1 | Cash loans | F | N | Y | 0 | 202500.000 | 343683.0 | 16663.5 | 261000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Separated | House / apartment | 0.010966 | -20200 | 365243 | -973.0 | -2779 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | THURSDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.622575 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 349 | 100402 | 0 | Cash loans | F | N | Y | 0 | 81000.000 | 276277.5 | 21825.0 | 238500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Single / not married | Municipal apartment | 0.005144 | -19780 | 365243 | -11248.0 | -3331 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | MONDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | NaN | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -275.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 352 | 100406 | 0 | Cash loans | F | N | Y | 0 | 135000.000 | 468648.0 | 34101.0 | 414000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.010006 | -20846 | 365243 | -774.0 | -4153 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.160741 | 0.713631 | 6.0 | 0.0 | 6.0 | 0.0 | -164.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 359 | 100413 | 0 | Cash loans | M | N | Y | 0 | 90000.000 | 90000.0 | 9351.0 | 90000.0 | Spouse, partner | Pensioner | Secondary / secondary special | Married | House / apartment | 0.019101 | -22768 | 365243 | -4730.0 | -5252 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | SATURDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.651336 | NaN | 5.0 | 0.0 | 5.0 | 0.0 | -344.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 364 | 100419 | 0 | Cash loans | F | N | Y | 0 | 112500.000 | 454500.0 | 13419.0 | 454500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Separated | House / apartment | 0.031329 | -20434 | 365243 | -6328.0 | -17 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | FRIDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.660829 | 0.384207 | 1.0 | 1.0 | 1.0 | 1.0 | -1662.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 378 | 100435 | 0 | Cash loans | F | N | Y | 0 | 112500.000 | 450000.0 | 16294.5 | 450000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Separated | House / apartment | 0.035792 | -16462 | -4690 | -3290.0 | -15 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | SATURDAY | 10 | 0 | 0 | 0 | 0 | 1 | 1 | Industry: type 9 | NaN | 0.661887 | 0.680139 | 0.0 | 0.0 | 0.0 | 0.0 | -2327.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 380 | 100437 | 0 | Cash loans | F | N | Y | 1 | 67500.000 | 817560.0 | 30951.0 | 675000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.035792 | -21401 | 365243 | -3940.0 | -4642 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 3.0 | 2 | 2 | THURSDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.741783 | 0.730751 | 0.636376 | 0.0 | 0.0 | 0.0 | 0.0 | -407.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 |
| 382 | 100440 | 0 | Cash loans | F | N | Y | 0 | 40500.000 | 127350.0 | 7438.5 | 112500.0 | Family | Pensioner | Secondary / secondary special | Married | House / apartment | 0.007330 | -23903 | 365243 | -12295.0 | -4332 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.096610 | 0.785052 | 0.0 | 0.0 | 0.0 | 0.0 | -861.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 383 | 100441 | 0 | Cash loans | F | N | Y | 0 | 135000.000 | 269550.0 | 11416.5 | 225000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Civil marriage | House / apartment | 0.009549 | -20171 | 365243 | -240.0 | -3555 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.604382 | 0.669057 | 0.0 | 0.0 | 0.0 | 0.0 | -1488.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 |
| 385 | 100443 | 0 | Cash loans | F | N | Y | 0 | 144000.000 | 456273.0 | 23296.5 | 346500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.010147 | -23054 | 365243 | -3975.0 | -4748 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | WEDNESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.427934 | 0.651260 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 389 | 100452 | 1 | Cash loans | M | N | Y | 1 | 171000.000 | 1009566.0 | 36391.5 | 904500.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.025164 | -18767 | -2046 | -6555.0 | -2317 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 3.0 | 2 | 2 | FRIDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.266520 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1144.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 390 | 100453 | 0 | Cash loans | M | Y | N | 2 | 247500.000 | 521280.0 | 27423.0 | 450000.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.008866 | -12191 | -3298 | -1371.0 | -3948 | 6.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 4.0 | 2 | 2 | TUESDAY | 17 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | NaN | 0.636496 | 0.681706 | 0.0 | 0.0 | 0.0 | 0.0 | -1754.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 395 | 100458 | 0 | Cash loans | F | N | N | 0 | 90000.000 | 808650.0 | 26217.0 | 675000.0 | Family | Pensioner | Secondary / secondary special | Married | House / apartment | 0.020713 | -20646 | 365243 | -12781.0 | -3849 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 3 | THURSDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.575941 | 0.552811 | 0.662638 | 0.0 | 0.0 | 0.0 | 0.0 | -238.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 397 | 100460 | 0 | Revolving loans | F | N | N | 0 | 315000.000 | 540000.0 | 27000.0 | 540000.0 | Unaccompanied | Commercial associate | Higher education | Single / not married | Rented apartment | 0.014464 | -9842 | -157 | -2291.0 | -2291 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | FRIDAY | 13 | 0 | 1 | 1 | 0 | 0 | 0 | Business Entity Type 3 | 0.439873 | 0.349457 | 0.633032 | NaN | NaN | NaN | NaN | -404.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 400 | 100463 | 0 | Cash loans | F | N | N | 0 | 112500.000 | 263686.5 | 15268.5 | 238500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.004960 | -14402 | 365243 | -4217.0 | -2403 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.649103 | 0.700184 | 2.0 | 0.0 | 2.0 | 0.0 | -1347.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 |
| 404 | 100468 | 0 | Cash loans | F | Y | N | 0 | 112500.000 | 900000.0 | 23872.5 | 900000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.010006 | -18287 | 365243 | -229.0 | -1454 | 2.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.243041 | NaN | 3.0 | 2.0 | 3.0 | 0.0 | -6.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 406 | 100470 | 0 | Cash loans | F | Y | Y | 0 | 225000.000 | 1345500.0 | 39469.5 | 1345500.0 | Unaccompanied | Commercial associate | Higher education | Married | House / apartment | 0.026392 | -15601 | -3880 | -9642.0 | -2242 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | SATURDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | NaN | 0.619853 | 0.657784 | 3.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 |
| 420 | 100486 | 0 | Cash loans | F | N | Y | 0 | 58500.000 | 172021.5 | 12991.5 | 148500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.015221 | -23794 | 365243 | -9471.0 | -4250 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | TUESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.448734 | 0.651260 | 5.0 | 1.0 | 5.0 | 0.0 | -1419.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 421 | 100487 | 0 | Cash loans | M | Y | N | 0 | 121500.000 | 630747.0 | 22783.5 | 544500.0 | Family | Pensioner | Secondary / secondary special | Married | House / apartment | 0.016612 | -16476 | 365243 | -4646.0 | -32 | 1.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | MONDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.343412 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -572.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 427 | 100493 | 0 | Cash loans | F | Y | Y | 0 | 270000.000 | 1288350.0 | 41692.5 | 1125000.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.035792 | -18651 | -2593 | -5769.0 | -2207 | 16.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | NaN | 0.692166 | 0.349055 | 4.0 | 0.0 | 4.0 | 0.0 | -2814.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 2.0 |
| 428 | 100495 | 0 | Cash loans | F | Y | N | 1 | 112500.000 | 832500.0 | 29623.5 | 832500.0 | Children | Working | Secondary / secondary special | Married | House / apartment | 0.006305 | -13494 | -2298 | -1138.0 | -577 | 13.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 3.0 | 3 | 3 | TUESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Medicine | NaN | 0.536266 | 0.782608 | 4.0 | 2.0 | 4.0 | 2.0 | -395.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 431 | 100498 | 0 | Cash loans | M | N | Y | 0 | 112500.000 | 485190.0 | 24903.0 | 405000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.020713 | -16468 | -1544 | -5023.0 | -21 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 3 | WEDNESDAY | 6 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.361334 | 0.275000 | 0.0 | 0.0 | 0.0 | 0.0 | -1388.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 432 | 100499 | 0 | Cash loans | F | Y | Y | 0 | 225000.000 | 678996.0 | 36963.0 | 540000.0 | Unaccompanied | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.010032 | -13229 | -1210 | -7237.0 | -4662 | 17.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.589716 | 0.786267 | 4.0 | 0.0 | 4.0 | 0.0 | -840.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 436 | 100503 | 0 | Cash loans | F | N | Y | 0 | 189000.000 | 876019.5 | 34870.5 | 783000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.009175 | -22524 | 365243 | -8604.0 | -5021 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.618440 | 0.329655 | 0.0 | 0.0 | 0.0 | 0.0 | -287.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 6.0 |
| 439 | 100506 | 0 | Cash loans | M | Y | Y | 0 | 112500.000 | 345645.0 | 16240.5 | 243000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.006305 | -14671 | -1977 | -7984.0 | -4376 | 20.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 3 | SATURDAY | 4 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | NaN | 0.545150 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -613.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 442 | 100509 | 0 | Cash loans | F | N | Y | 0 | 90000.000 | 339241.5 | 12312.0 | 238500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Separated | House / apartment | 0.035792 | -21987 | 365243 | -8482.0 | -4704 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | WEDNESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.694500 | 0.652897 | 0.0 | 0.0 | 0.0 | 0.0 | -1723.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 2.0 |
| 444 | 100513 | 0 | Cash loans | F | N | Y | 0 | 180000.000 | 848745.0 | 36090.0 | 675000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.035792 | -18344 | -7364 | -3255.0 | -1891 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 17 | 0 | 0 | 0 | 1 | 1 | 0 | Business Entity Type 3 | 0.750608 | 0.625079 | NaN | 6.0 | 0.0 | 6.0 | 0.0 | -586.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 445 | 100514 | 0 | Cash loans | M | N | Y | 0 | 270000.000 | 265306.5 | 28701.0 | 252000.0 | Unaccompanied | Pensioner | Higher education | Married | House / apartment | 0.018029 | -15187 | 365243 | -1856.0 | -4116 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 3 | FRIDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.296512 | 0.597712 | 0.461482 | 1.0 | 0.0 | 1.0 | 0.0 | -1534.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 447 | 100516 | 0 | Cash loans | F | N | N | 0 | 157500.000 | 117000.0 | 11700.0 | 117000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Single / not married | House / apartment | 0.028663 | -20792 | 365243 | -4205.0 | -4203 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | THURSDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.674395 | 0.798137 | 10.0 | 0.0 | 10.0 | 0.0 | -1533.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 2.0 |
| 448 | 100518 | 0 | Revolving loans | F | N | Y | 0 | 117000.000 | 202500.0 | 10125.0 | 202500.0 | Family | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.007330 | -22681 | 365243 | -13564.0 | -4046 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | TUESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.580362 | NaN | 1.0 | 0.0 | 0.0 | 0.0 | -1339.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 449 | 100519 | 0 | Cash loans | F | N | N | 0 | 112500.000 | 625536.0 | 27684.0 | 540000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | Municipal apartment | 0.007114 | -19031 | 365243 | -7369.0 | -2569 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | TUESDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.273554 | 0.533482 | 0.0 | 0.0 | 0.0 | 0.0 | -1581.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 451 | 100521 | 0 | Revolving loans | F | N | N | 0 | 157500.000 | 225000.0 | 11250.0 | 225000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.008474 | -20523 | 365243 | -8472.0 | -4043 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.713867 | 0.543957 | 0.126101 | 0.0 | 0.0 | 0.0 | 0.0 | -207.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | 2.0 |
| 452 | 100522 | 0 | Cash loans | F | Y | Y | 1 | 180000.000 | 343683.0 | 20898.0 | 261000.0 | Children | Working | Secondary / secondary special | Married | House / apartment | 0.018801 | -10933 | -2309 | -4757.0 | -1777 | 1.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 3.0 | 2 | 2 | TUESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.533186 | 0.385915 | 2.0 | 0.0 | 2.0 | 0.0 | -150.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 454 | 100524 | 0 | Cash loans | M | N | Y | 0 | 112500.000 | 284400.0 | 20740.5 | 225000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.006207 | -10936 | -3186 | -173.0 | -3568 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.682145 | NaN | 1.0 | 1.0 | 1.0 | 1.0 | -516.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 458 | 100528 | 0 | Cash loans | F | N | Y | 1 | 90000.000 | 675000.0 | 19867.5 | 675000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.020246 | -14608 | -4624 | -514.0 | -6085 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 3.0 | 3 | 3 | FRIDAY | 6 | 0 | 0 | 0 | 0 | 1 | 1 | Medicine | NaN | 0.527756 | 0.572683 | 1.0 | 0.0 | 1.0 | 0.0 | -1218.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 |
| 473 | 100543 | 0 | Cash loans | F | N | Y | 0 | 157500.000 | 225000.0 | 26703.0 | 225000.0 | Family | Pensioner | Secondary / secondary special | Separated | House / apartment | 0.016612 | -20173 | 365243 | -9054.0 | -3717 | 0.0 | 1 | 0 | 0 | 1 | 0 | 1 | NaN | 1.0 | 2 | 2 | MONDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.588043 | 0.283712 | 0.0 | 0.0 | 0.0 | 0.0 | -1227.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 475 | 100545 | 0 | Cash loans | F | N | Y | 0 | 144000.000 | 1012500.0 | 29736.0 | 1012500.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.035792 | -19058 | -10089 | -1320.0 | -1153 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 9 | 0 | 0 | 0 | 0 | 1 | 1 | Emergency | NaN | 0.682751 | 0.556727 | 0.0 | 0.0 | 0.0 | 0.0 | -1516.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 476 | 100546 | 0 | Cash loans | M | N | Y | 0 | 67500.000 | 508495.5 | 21672.0 | 454500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.031329 | -23539 | 365243 | -6397.0 | -4677 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.162192 | 0.551381 | 0.0 | 0.0 | 0.0 | 0.0 | -2368.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 482 | 100556 | 0 | Cash loans | F | N | Y | 0 | 58500.000 | 50940.0 | 4959.0 | 45000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.010500 | -22735 | 365243 | -1583.0 | -4711 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 3 | 3 | THURSDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.742158 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1086.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 486 | 100560 | 0 | Cash loans | F | N | N | 0 | 49500.000 | 225000.0 | 11488.5 | 225000.0 | Unaccompanied | Pensioner | Higher education | Married | Municipal apartment | 0.006305 | -21157 | 365243 | -8746.0 | -4279 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 3 | THURSDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.574461 | 0.252599 | 0.0 | 0.0 | 0.0 | 0.0 | -961.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 490 | 100565 | 0 | Cash loans | F | N | Y | 0 | 112500.000 | 518562.0 | 25078.5 | 463500.0 | Family | Pensioner | Secondary / secondary special | Married | House / apartment | 0.031329 | -20934 | 365243 | -1377.0 | -4010 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.657316 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -168.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 495 | 100572 | 0 | Cash loans | F | N | Y | 0 | 31500.000 | 314055.0 | 13437.0 | 238500.0 | Unaccompanied | Pensioner | Lower secondary | Married | House / apartment | 0.031329 | -19110 | 365243 | -9012.0 | -2663 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.468946 | 0.713631 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 496 | 100573 | 0 | Cash loans | F | Y | N | 1 | 157500.000 | 961146.0 | 26559.0 | 688500.0 | Unaccompanied | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.015221 | -13482 | -1684 | -2152.0 | -2226 | 1.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 3.0 | 2 | 2 | WEDNESDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Kindergarten | 0.432729 | 0.568248 | 0.401407 | 4.0 | 0.0 | 3.0 | 0.0 | -1478.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 498 | 100575 | 0 | Cash loans | M | Y | Y | 0 | 108000.000 | 247275.0 | 17586.0 | 225000.0 | Unaccompanied | Pensioner | Higher education | Civil marriage | House / apartment | 0.008230 | -22443 | 365243 | -1824.0 | -4272 | 4.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.853753 | 0.533703 | 0.785052 | 1.0 | 0.0 | 1.0 | 0.0 | -523.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 500 | 100577 | 0 | Cash loans | F | N | Y | 0 | 171000.000 | 555273.0 | 15912.0 | 463500.0 | Family | Pensioner | Lower secondary | Married | House / apartment | 0.024610 | -23169 | 365243 | -17298.0 | -4229 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | SATURDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.636770 | 0.651260 | 0.0 | 0.0 | 0.0 | 0.0 | -2059.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 5.0 |
| 504 | 100581 | 0 | Cash loans | F | N | Y | 0 | 270000.000 | 835380.0 | 31950.0 | 675000.0 | Unaccompanied | Commercial associate | Higher education | Married | House / apartment | 0.072508 | -19484 | -3899 | -919.0 | -2939 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 1 | 1 | THURSDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.542706 | 0.695391 | 0.673830 | 12.0 | 1.0 | 12.0 | 0.0 | -542.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 7.0 | 0.0 | 2.0 |
| 505 | 100582 | 0 | Cash loans | M | N | Y | 0 | 135000.000 | 1546020.0 | 45328.5 | 1350000.0 | Family | Pensioner | Secondary / secondary special | Married | House / apartment | 0.025164 | -22838 | 365243 | -8499.0 | -4559 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.673506 | 0.609276 | 0.0 | 0.0 | 0.0 | 0.0 | -1322.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 |
| 509 | 100586 | 0 | Cash loans | F | N | Y | 0 | 85500.000 | 515529.0 | 21969.0 | 391500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.018850 | -22291 | 365243 | -13271.0 | -4962 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | THURSDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.692641 | 0.313917 | 0.0 | 0.0 | 0.0 | 0.0 | -1817.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 4.0 |
| 512 | 100589 | 0 | Cash loans | M | N | Y | 0 | 103500.000 | 302076.0 | 26055.0 | 270000.0 | Unaccompanied | Working | Secondary / secondary special | Single / not married | House / apartment | 0.008575 | -10053 | -1458 | -4750.0 | -2469 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | SUNDAY | 11 | 1 | 0 | 1 | 1 | 0 | 1 | Business Entity Type 3 | 0.299562 | 0.483323 | 0.763640 | 0.0 | 0.0 | 0.0 | 0.0 | -2009.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 |
| 513 | 100590 | 0 | Cash loans | F | Y | N | 0 | 225000.000 | 478498.5 | 51534.0 | 454500.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.035792 | -15923 | -1384 | -297.0 | -3854 | 15.0 | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | SATURDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.690627 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -250.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 518 | 100597 | 0 | Cash loans | F | N | Y | 0 | 135000.000 | 734994.0 | 23841.0 | 526500.0 | Unaccompanied | Working | Secondary / secondary special | Separated | House / apartment | 0.019101 | -18673 | -1434 | -12450.0 | -732 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | TUESDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Industry: type 11 | NaN | 0.267731 | 0.673830 | 1.0 | 0.0 | 1.0 | 0.0 | -31.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 524 | 100604 | 0 | Cash loans | F | N | N | 0 | 180000.000 | 278460.0 | 19800.0 | 225000.0 | Unaccompanied | Commercial associate | Higher education | Civil marriage | House / apartment | 0.072508 | -8433 | -786 | -6654.0 | -1109 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 2.0 | 1 | 1 | SATURDAY | 20 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.709566 | NaN | 4.0 | 0.0 | 4.0 | 0.0 | -617.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 526 | 100606 | 0 | Cash loans | M | Y | Y | 0 | 225000.000 | 593010.0 | 19260.0 | 495000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.019101 | -20372 | 365243 | -5481.0 | -3557 | 13.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.598837 | 0.602386 | 0.0 | 0.0 | 0.0 | 0.0 | -2391.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 527 | 100608 | 0 | Cash loans | F | N | N | 0 | 184500.000 | 654498.0 | 28957.5 | 585000.0 | Family | Pensioner | Secondary / secondary special | Married | House / apartment | 0.004960 | -20597 | 365243 | -4702.0 | -3392 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.668243 | 0.150085 | 0.0 | 0.0 | 0.0 | 0.0 | -692.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 535 | 100619 | 0 | Cash loans | F | N | N | 0 | 99000.000 | 364896.0 | 13653.0 | 315000.0 | Unaccompanied | Commercial associate | Higher education | Single / not married | House / apartment | 0.005084 | -11156 | -890 | -5089.0 | -2320 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | THURSDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.483896 | 0.579265 | 0.332851 | 0.0 | 0.0 | 0.0 | 0.0 | -1776.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 539 | 100624 | 0 | Cash loans | M | Y | Y | 0 | 99000.000 | 521280.0 | 22216.5 | 450000.0 | Family | Pensioner | Secondary / secondary special | Married | House / apartment | 0.006852 | -23759 | 365243 | -2753.0 | -4022 | 11.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 3 | SUNDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.333503 | 0.673830 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 545 | 100631 | 0 | Cash loans | F | N | Y | 1 | 135000.000 | 913500.0 | 26838.0 | 913500.0 | Unaccompanied | Working | Secondary / secondary special | Separated | House / apartment | 0.010643 | -17515 | -2412 | -760.0 | -1056 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | NaN | 0.411039 | 0.798137 | 0.0 | 0.0 | 0.0 | 0.0 | -1435.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 |
| 556 | 100642 | 0 | Cash loans | F | N | Y | 0 | 157500.000 | 1350000.0 | 47056.5 | 1350000.0 | Unaccompanied | Pensioner | Incomplete higher | Married | House / apartment | 0.015221 | -21893 | 365243 | -10290.0 | -5222 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.468864 | 0.302583 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1425.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 557 | 100643 | 0 | Cash loans | F | N | Y | 0 | 90000.000 | 755190.0 | 29677.5 | 675000.0 | Family | Pensioner | Higher education | Separated | House / apartment | 0.003069 | -23185 | 365243 | -5791.0 | -4102 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 3 | 3 | MONDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.892392 | 0.587131 | 0.614414 | 0.0 | 0.0 | 0.0 | 0.0 | -920.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 558 | 100644 | 0 | Cash loans | F | Y | Y | 2 | 76500.000 | 119925.0 | 13045.5 | 112500.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.014464 | -12463 | -1631 | -2688.0 | -3524 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 4.0 | 2 | 2 | THURSDAY | 3 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.373813 | 0.643026 | 1.0 | 0.0 | 1.0 | 0.0 | -355.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 |
| 561 | 100647 | 0 | Revolving loans | F | N | Y | 0 | 99000.000 | 247500.0 | 12375.0 | 247500.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.025164 | -17142 | -1051 | -1203.0 | -672 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Medicine | NaN | 0.624146 | 0.479449 | 14.0 | 0.0 | 14.0 | 0.0 | -733.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 7.0 |
| 563 | 100649 | 1 | Cash loans | F | N | N | 2 | 180000.000 | 284400.0 | 13387.5 | 225000.0 | Unaccompanied | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.020713 | -11653 | -4832 | -4833.0 | -3068 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 4.0 | 3 | 3 | SUNDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | School | NaN | 0.023482 | NaN | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 566 | 100652 | 0 | Cash loans | F | Y | Y | 0 | 130500.000 | 995562.0 | 54684.0 | 922500.0 | Family | Pensioner | Secondary / secondary special | Married | House / apartment | 0.035792 | -22021 | 365243 | -14183.0 | -4596 | 4.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | SATURDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.370796 | 0.519918 | 0.672243 | 0.0 | 0.0 | 0.0 | 0.0 | -1196.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 |
| 568 | 100654 | 0 | Cash loans | F | N | Y | 2 | 135000.000 | 427500.0 | 19939.5 | 427500.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.028663 | -11767 | -3808 | -5836.0 | -4195 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 4.0 | 2 | 2 | WEDNESDAY | 12 | 0 | 0 | 0 | 1 | 0 | 1 | Trade: type 7 | 0.400441 | 0.630082 | 0.225087 | 0.0 | 0.0 | 0.0 | 0.0 | -400.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 570 | 100656 | 0 | Cash loans | F | N | Y | 0 | 54000.000 | 312768.0 | 13378.5 | 270000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.002042 | -20419 | 365243 | -10019.0 | -2382 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 3 | SATURDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.705845 | 0.458793 | 0.665855 | 0.0 | 0.0 | 0.0 | 0.0 | -694.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 571 | 100657 | 0 | Cash loans | F | N | N | 0 | 135000.000 | 414792.0 | 16357.5 | 315000.0 | Unaccompanied | Working | Lower secondary | Married | House / apartment | 0.011657 | -19215 | -4556 | -7826.0 | -2762 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 1 | 1 | SATURDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Emergency | NaN | 0.645634 | 0.712155 | 0.0 | 0.0 | 0.0 | 0.0 | -3.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 580 | 100666 | 0 | Cash loans | M | Y | Y | 0 | 135000.000 | 422451.0 | 19822.5 | 297000.0 | Family | Working | Secondary / secondary special | Single / not married | House / apartment | 0.020713 | -10691 | -1590 | -119.0 | -2151 | 64.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 1.0 | 3 | 2 | FRIDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | 0.207854 | 0.233434 | 0.750375 | 1.0 | 0.0 | 1.0 | 0.0 | -1684.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 581 | 100667 | 0 | Cash loans | M | N | Y | 0 | 45000.000 | 168102.0 | 16753.5 | 148500.0 | Family | Pensioner | Secondary / secondary special | Married | House / apartment | 0.014464 | -20113 | 365243 | -8654.0 | -3537 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 7 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.484891 | 0.643026 | 0.0 | 0.0 | 0.0 | 0.0 | -579.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 582 | 100668 | 0 | Cash loans | F | N | N | 1 | 144000.000 | 364896.0 | 16069.5 | 315000.0 | Unaccompanied | Working | Higher education | Single / not married | House / apartment | 0.018801 | -14731 | -6767 | -4269.0 | -4723 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | SATURDAY | 15 | 0 | 0 | 0 | 1 | 1 | 0 | Business Entity Type 1 | 0.658407 | 0.275305 | 0.147346 | 0.0 | 0.0 | 0.0 | 0.0 | -681.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 583 | 100669 | 0 | Cash loans | M | Y | N | 0 | 81000.000 | 670500.0 | 36504.0 | 670500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.028663 | -22990 | 365243 | -4509.0 | -4535 | 30.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.527931 | 0.679812 | 0.511892 | 5.0 | 2.0 | 5.0 | 1.0 | -2082.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 584 | 100670 | 0 | Cash loans | F | N | Y | 0 | 112500.000 | 381528.0 | 14512.5 | 315000.0 | Unaccompanied | Working | Incomplete higher | Married | House / apartment | 0.030755 | -19741 | -3723 | -1849.0 | -3286 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Other | NaN | 0.634653 | 0.824595 | 3.0 | 0.0 | 3.0 | 0.0 | -938.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 586 | 100672 | 1 | Cash loans | M | N | Y | 0 | 112500.000 | 808650.0 | 26217.0 | 675000.0 | Family | Pensioner | Secondary / secondary special | Married | House / apartment | 0.006852 | -21107 | 365243 | -8291.0 | -4540 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 3 | SUNDAY | 5 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.220481 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -377.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 |
| 589 | 100675 | 0 | Cash loans | M | Y | Y | 0 | 202500.000 | 1125000.0 | 33025.5 | 1125000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.008068 | -22503 | 365243 | -442.0 | -4974 | 3.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 3 | 3 | TUESDAY | 7 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.492529 | NaN | 7.0 | 0.0 | 7.0 | 0.0 | -391.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 8.0 |
| 592 | 100679 | 0 | Cash loans | F | N | Y | 0 | 72000.000 | 384048.0 | 14607.0 | 270000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.006008 | -19968 | -6651 | -1434.0 | -3512 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 13 | 0 | 0 | 0 | 0 | 1 | 1 | School | NaN | 0.670972 | 0.513694 | 0.0 | 0.0 | 0.0 | 0.0 | -463.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 602 | 100689 | 0 | Cash loans | F | N | Y | 0 | 63000.000 | 528633.0 | 23413.5 | 472500.0 | Family | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.031329 | -21752 | 365243 | -9863.0 | -4208 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | WEDNESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.712567 | 0.747663 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 608 | 100695 | 0 | Cash loans | F | N | Y | 0 | 135000.000 | 1219500.0 | 35788.5 | 1219500.0 | Family | Pensioner | Secondary / secondary special | Married | House / apartment | 0.019101 | -17426 | 365243 | -6353.0 | -972 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | MONDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.644577 | 0.772631 | 3.0 | 0.0 | 3.0 | 0.0 | -203.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 610 | 100697 | 0 | Cash loans | F | N | Y | 0 | 225000.000 | 495985.5 | 17946.0 | 409500.0 | Unaccompanied | Pensioner | Higher education | Married | House / apartment | 0.072508 | -20648 | 365243 | -4893.0 | -3983 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 1 | 1 | THURSDAY | 18 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.743420 | 0.793449 | 0.0 | 0.0 | 0.0 | 0.0 | -3242.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 613 | 100701 | 0 | Cash loans | F | N | Y | 0 | 67500.000 | 495000.0 | 19629.0 | 495000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.018850 | -22881 | 365243 | -12403.0 | -4045 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.740099 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 614 | 100703 | 0 | Cash loans | F | Y | Y | 0 | 112500.000 | 225000.0 | 21919.5 | 225000.0 | Spouse, partner | Pensioner | Secondary / secondary special | Married | House / apartment | 0.026392 | -25050 | 365243 | -2708.0 | -4137 | 12.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | MONDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.719860 | 0.394495 | 0.0 | 0.0 | 0.0 | 0.0 | -1501.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 |
| 617 | 100706 | 0 | Cash loans | F | N | Y | 0 | 180000.000 | 533668.5 | 22738.5 | 477000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Single / not married | Municipal apartment | 0.010500 | -22460 | 365243 | -1746.0 | -4617 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 3 | 3 | MONDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | NaN | 0.547810 | 1.0 | 1.0 | 1.0 | 1.0 | -364.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 618 | 100707 | 0 | Cash loans | M | N | Y | 3 | 135000.000 | 1160973.0 | 37579.5 | 909000.0 | Unaccompanied | Pensioner | Higher education | Married | House / apartment | 0.018850 | -16960 | 365243 | -4213.0 | -452 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 5.0 | 2 | 2 | TUESDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.661118 | 0.740721 | 0.750375 | 0.0 | 0.0 | 0.0 | 0.0 | -1524.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 624 | 100714 | 1 | Cash loans | F | N | Y | 0 | 99000.000 | 548770.5 | 21892.5 | 490500.0 | Family | Pensioner | Secondary / secondary special | Married | House / apartment | 0.020713 | -21818 | 365243 | -12710.0 | -511 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 2 | SATURDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.481789 | 0.834784 | 0.0 | 0.0 | 0.0 | 0.0 | -366.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 626 | 100716 | 0 | Cash loans | F | Y | N | 1 | 135000.000 | 761067.0 | 60259.5 | 657000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | With parents | 0.018801 | -11981 | -2419 | -5181.0 | -3173 | 20.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 3.0 | 2 | 2 | SATURDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.464550 | 0.318466 | 0.729567 | 1.0 | 0.0 | 1.0 | 0.0 | -1604.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 631 | 100721 | 0 | Cash loans | F | Y | Y | 1 | 216000.000 | 868500.0 | 25393.5 | 868500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.014520 | -19605 | 365243 | -6693.0 | -3030 | 3.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 3.0 | 2 | 2 | TUESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.723601 | 0.543631 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -175.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 632 | 100722 | 0 | Cash loans | M | Y | Y | 0 | 540000.000 | 545040.0 | 26640.0 | 450000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.028663 | -16194 | -1321 | -8752.0 | -4617 | 0.0 | 1 | 1 | 1 | 1 | 0 | 1 | NaN | 2.0 | 2 | 2 | FRIDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Agriculture | 0.647140 | 0.681053 | 0.528093 | 0.0 | 0.0 | 0.0 | 0.0 | -2580.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 635 | 100725 | 0 | Cash loans | F | Y | Y | 1 | 112500.000 | 1223010.0 | 51948.0 | 1125000.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.004849 | -11487 | -997 | -4939.0 | -2531 | 7.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 3.0 | 2 | 2 | WEDNESDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.623905 | 0.810618 | 1.0 | 0.0 | 1.0 | 0.0 | -732.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 640 | 100731 | 0 | Revolving loans | F | Y | Y | 1 | 112500.000 | 270000.0 | 13500.0 | 270000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.035792 | -13830 | -1123 | -3446.0 | -5257 | 14.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 3.0 | 2 | 2 | FRIDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | 0.494845 | 0.732272 | 0.678568 | 6.0 | 1.0 | 6.0 | 0.0 | -886.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 646 | 100737 | 0 | Cash loans | F | N | Y | 0 | 112500.000 | 247275.0 | 17208.0 | 225000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Separated | House / apartment | 0.035792 | -24181 | 365243 | -8064.0 | -4427 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | FRIDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.620383 | 0.821443 | 8.0 | 0.0 | 8.0 | 0.0 | -1391.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 |
| 650 | 100742 | 0 | Cash loans | F | N | Y | 0 | 108000.000 | 390960.0 | 17352.0 | 337500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.018850 | -20206 | 365243 | -14116.0 | -3378 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.914346 | 0.446241 | 0.353988 | 0.0 | 0.0 | 0.0 | 0.0 | -31.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 |
| 652 | 100746 | 0 | Revolving loans | M | Y | Y | 0 | 171000.000 | 495000.0 | 24750.0 | 495000.0 | Unaccompanied | Pensioner | Higher education | Married | House / apartment | 0.026392 | -17806 | 365243 | -3435.0 | -1340 | 3.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | SUNDAY | 12 | 0 | 0 | 0 | 1 | 0 | 0 | XNA | NaN | 0.736885 | 0.570917 | 0.0 | 0.0 | 0.0 | 0.0 | -988.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 656 | 100755 | 0 | Cash loans | F | N | Y | 0 | 90000.000 | 107820.0 | 7420.5 | 90000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Civil marriage | House / apartment | 0.019689 | -10598 | -1023 | -5012.0 | -1639 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 13 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | NaN | 0.157111 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 668 | 100773 | 0 | Cash loans | F | N | Y | 0 | 112500.000 | 254700.0 | 26226.0 | 225000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.025164 | -23049 | 365243 | -4452.0 | -4132 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | FRIDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.481827 | 0.465069 | 5.0 | 0.0 | 5.0 | 0.0 | -2559.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 678 | 100784 | 1 | Cash loans | F | N | Y | 0 | 54000.000 | 1885500.0 | 74191.5 | 1885500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.031329 | -22181 | 365243 | -14266.0 | -4714 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | MONDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.623843 | NaN | 6.0 | 0.0 | 6.0 | 0.0 | -1683.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 679 | 100785 | 0 | Cash loans | F | Y | N | 0 | 67500.000 | 293535.0 | 18085.5 | 265500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.007305 | -21306 | 365243 | -2144.0 | -3248 | 19.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 3 | SATURDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.142997 | 0.646330 | 0.0 | 0.0 | 0.0 | 0.0 | -1803.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | 1.0 |
| 680 | 100786 | 0 | Cash loans | F | N | N | 0 | 270000.000 | 265851.0 | 11839.5 | 229500.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.020713 | -16625 | -1890 | -6371.0 | -159 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 2.0 | 3 | 2 | THURSDAY | 7 | 0 | 0 | 0 | 0 | 0 | 0 | School | NaN | 0.554405 | 0.567379 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 683 | 100789 | 0 | Cash loans | F | N | Y | 0 | 112500.000 | 813195.0 | 24786.0 | 702000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.010556 | -16329 | -1048 | -1187.0 | -4819 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 3 | TUESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.493130 | 0.767523 | 0.0 | 0.0 | 0.0 | 0.0 | -1163.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 686 | 100794 | 0 | Cash loans | F | N | Y | 0 | 49500.000 | 431280.0 | 18400.5 | 360000.0 | Family | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.031329 | -21351 | 365243 | -11095.0 | -4795 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | TUESDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.191543 | 0.771362 | 2.0 | 1.0 | 2.0 | 1.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 690 | 100799 | 0 | Cash loans | F | Y | Y | 0 | 103500.000 | 886090.5 | 39159.0 | 792000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.018029 | -21411 | -3997 | -4434.0 | -4439 | 16.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 3 | MONDAY | 6 | 0 | 0 | 0 | 0 | 0 | 0 | Medicine | NaN | 0.573712 | 0.549597 | 1.0 | 0.0 | 1.0 | 0.0 | -2518.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 |
| 691 | 100800 | 0 | Cash loans | F | N | Y | 0 | 126000.000 | 698517.0 | 23215.5 | 603000.0 | Unaccompanied | Pensioner | Lower secondary | Widow | House / apartment | 0.018634 | -21314 | 365243 | -2486.0 | -4613 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | FRIDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.299789 | 0.689479 | 2.0 | 0.0 | 2.0 | 0.0 | -807.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 |
| 699 | 100808 | 1 | Cash loans | F | N | Y | 2 | 135000.000 | 640080.0 | 31261.5 | 450000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.022625 | -9904 | -1116 | -737.0 | -2241 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 4.0 | 2 | 2 | FRIDAY | 12 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | 0.688832 | 0.712791 | 0.363945 | 0.0 | 0.0 | 0.0 | 0.0 | -590.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 3.0 |
| 703 | 100812 | 0 | Cash loans | F | N | Y | 1 | 270000.000 | 274779.0 | 28287.0 | 261000.0 | Unaccompanied | Commercial associate | Higher education | Separated | Municipal apartment | 0.072508 | -13706 | -1405 | -5867.0 | -5497 | 0.0 | 1 | 1 | 0 | 1 | 0 | 1 | NaN | 2.0 | 1 | 1 | FRIDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Industry: type 9 | 0.765643 | 0.754098 | 0.754406 | 0.0 | 0.0 | 0.0 | 0.0 | -3318.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 704 | 100813 | 0 | Cash loans | F | N | N | 0 | 135000.000 | 635962.5 | 21865.5 | 549000.0 | Unaccompanied | Working | Secondary / secondary special | Widow | Municipal apartment | 0.022625 | -15069 | -1302 | -6538.0 | -4116 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | FRIDAY | 14 | 0 | 0 | 0 | 1 | 1 | 0 | Transport: type 4 | NaN | 0.639340 | 0.669057 | 3.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 706 | 100815 | 0 | Cash loans | M | Y | Y | 0 | 112500.000 | 225000.0 | 12694.5 | 225000.0 | Unaccompanied | Pensioner | Higher education | Married | House / apartment | 0.018850 | -22725 | 365243 | -8534.0 | -4299 | 3.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.429091 | 0.772631 | 3.0 | 0.0 | 3.0 | 0.0 | -170.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 707 | 100816 | 1 | Cash loans | F | N | Y | 0 | 157500.000 | 88884.0 | 4950.0 | 67500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.022625 | -22562 | 365243 | -9173.0 | -4536 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.553076 | 0.391055 | 0.0 | 0.0 | 0.0 | 0.0 | -116.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 1.0 | 0.0 | 0.0 | 4.0 | 5.0 |
| 710 | 100819 | 0 | Cash loans | F | N | N | 0 | 279000.000 | 1520253.0 | 44581.5 | 1327500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | Municipal apartment | 0.009334 | -20895 | 365243 | -14964.0 | -2644 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | SUNDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.743212 | 0.508287 | 0.0 | 0.0 | 0.0 | 0.0 | -396.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 |
| 712 | 100821 | 0 | Cash loans | F | N | N | 0 | 180000.000 | 1468719.0 | 40387.5 | 1282500.0 | Unaccompanied | Working | Secondary / secondary special | Single / not married | House / apartment | 0.031329 | -21579 | -926 | -7641.0 | -4786 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | SUNDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.634293 | 0.408359 | 1.0 | 1.0 | 1.0 | 1.0 | -635.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 713 | 100822 | 0 | Cash loans | M | N | Y | 1 | 225000.000 | 616923.0 | 48870.0 | 558000.0 | Unaccompanied | Commercial associate | Higher education | Married | House / apartment | 0.009175 | -11653 | -439 | -2223.0 | -4288 | 0.0 | 1 | 1 | 0 | 1 | 0 | 1 | NaN | 3.0 | 2 | 2 | MONDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.266061 | 0.285898 | 0.499272 | 0.0 | 0.0 | 0.0 | 0.0 | -618.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
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| 306903 | 455573 | 0 | Cash loans | M | Y | N | 0 | 180000.000 | 706221.0 | 22909.5 | 589500.0 | Family | Working | Secondary / secondary special | Married | House / apartment | 0.035792 | -14328 | -3463 | -7454.0 | -4891 | 16.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | SUNDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | NaN | 0.724620 | 0.743559 | 7.0 | 0.0 | 7.0 | 0.0 | -1709.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 306904 | 455574 | 0 | Cash loans | F | N | N | 0 | 135000.000 | 495351.0 | 26023.5 | 459000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Civil marriage | House / apartment | 0.007020 | -19223 | 365243 | -11168.0 | -2656 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.115914 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -342.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 5.0 |
| 306909 | 455579 | 0 | Cash loans | F | N | N | 0 | 135000.000 | 497520.0 | 28692.0 | 450000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Single / not married | House / apartment | 0.010966 | -21179 | 365243 | -4363.0 | -4362 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | FRIDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.035709 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -204.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 306915 | 455586 | 0 | Revolving loans | F | N | Y | 0 | 99000.000 | 270000.0 | 13500.0 | 270000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.007330 | -20538 | 365243 | -7244.0 | -3469 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | MONDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.625755 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -662.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 306916 | 455587 | 0 | Cash loans | F | N | Y | 0 | 72000.000 | 52128.0 | 5472.0 | 45000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.022625 | -19461 | -3139 | -8438.0 | -3005 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | MONDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Kindergarten | NaN | 0.791277 | 0.610991 | 0.0 | 0.0 | 0.0 | 0.0 | -2380.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 |
| 306920 | 455591 | 0 | Cash loans | F | N | Y | 0 | 112500.000 | 634482.0 | 20596.5 | 454500.0 | Unaccompanied | Working | Higher education | Single / not married | House / apartment | 0.003122 | -14446 | -3161 | -861.0 | -5558 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 1.0 | 3 | 3 | WEDNESDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.671340 | 0.632846 | 0.475850 | 0.0 | 0.0 | 0.0 | 0.0 | -990.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 |
| 306921 | 455592 | 0 | Cash loans | F | N | Y | 0 | 135000.000 | 405000.0 | 17968.5 | 405000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.030755 | -22260 | 365243 | -2568.0 | -3890 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.597339 | 0.712155 | 0.0 | 0.0 | 0.0 | 0.0 | -2189.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 |
| 306926 | 455597 | 0 | Cash loans | F | N | Y | 0 | 90000.000 | 593010.0 | 17469.0 | 495000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.005084 | -22840 | 365243 | -209.0 | -5067 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | SUNDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.590017 | 0.190706 | 0.0 | 0.0 | 0.0 | 0.0 | -466.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 |
| 306927 | 455598 | 0 | Cash loans | F | Y | Y | 0 | 157500.000 | 1928304.0 | 71590.5 | 1800000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.004849 | -21208 | 365243 | -8290.0 | -4334 | 14.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.591202 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -151.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 306929 | 455600 | 0 | Cash loans | F | Y | Y | 0 | 180000.000 | 696528.0 | 50814.0 | 630000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.046220 | -17126 | -611 | -6584.0 | -666 | 1.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 1 | 1 | SATURDAY | 14 | 0 | 0 | 0 | 0 | 1 | 1 | Transport: type 4 | NaN | 0.246700 | 0.762336 | 6.0 | 0.0 | 6.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 306933 | 455604 | 0 | Cash loans | F | N | N | 0 | 54000.000 | 327024.0 | 12456.0 | 270000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.004960 | -21633 | 365243 | -2746.0 | -2753 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | THURSDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.552606 | 0.771362 | 1.0 | 0.0 | 1.0 | 0.0 | -366.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 306936 | 455608 | 0 | Cash loans | F | Y | Y | 1 | 112500.000 | 1264428.0 | 37098.0 | 990000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.019689 | -10641 | -3188 | -4219.0 | -2913 | 14.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 3.0 | 2 | 2 | SATURDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Transport: type 4 | NaN | 0.471534 | 0.353988 | 4.0 | 0.0 | 4.0 | 0.0 | -2095.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 5.0 |
| 306937 | 455609 | 0 | Cash loans | M | Y | Y | 0 | 144000.000 | 2129445.0 | 56304.0 | 1777500.0 | Unaccompanied | Pensioner | Higher education | Married | House / apartment | 0.035792 | -17530 | 365243 | -3320.0 | -1083 | 24.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | MONDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.697898 | 0.623473 | 0.634706 | 0.0 | 0.0 | 0.0 | 0.0 | -1645.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 306940 | 455612 | 0 | Cash loans | M | Y | Y | 0 | 247500.000 | 213948.0 | 17032.5 | 189000.0 | Family | Working | Secondary / secondary special | Single / not married | House / apartment | 0.004960 | -14900 | -1930 | -4654.0 | -2277 | 10.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | FRIDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Transport: type 4 | 0.725114 | 0.639133 | 0.170446 | 0.0 | 0.0 | 0.0 | 0.0 | -988.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 7.0 |
| 306942 | 455614 | 0 | Cash loans | M | Y | Y | 1 | 247500.000 | 545040.0 | 25537.5 | 450000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.002042 | -14445 | -1465 | -2023.0 | -3440 | 3.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 3.0 | 3 | 3 | TUESDAY | 10 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | NaN | 0.027173 | 0.248536 | 2.0 | 0.0 | 2.0 | 0.0 | -63.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 |
| 306943 | 455615 | 1 | Cash loans | F | N | N | 0 | 171000.000 | 239850.0 | 25830.0 | 225000.0 | Unaccompanied | Commercial associate | Incomplete higher | Single / not married | House / apartment | 0.031329 | -8342 | -1679 | -3143.0 | -1004 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | THURSDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Transport: type 4 | 0.244830 | 0.108418 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -573.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 306952 | 455624 | 0 | Cash loans | M | Y | Y | 0 | 247500.000 | 1546020.0 | 50004.0 | 1350000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.007020 | -21581 | 365243 | -2080.0 | -5105 | 2.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | SUNDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.689439 | 0.288130 | 6.0 | 0.0 | 6.0 | 0.0 | -1457.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 4.0 | 0.0 | 3.0 |
| 306953 | 455625 | 0 | Cash loans | F | N | Y | 1 | 90000.000 | 344043.0 | 24597.0 | 297000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.006852 | -17641 | -2159 | -8059.0 | -1174 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 3.0 | 3 | 3 | SUNDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.080822 | 0.778904 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 306958 | 455630 | 0 | Cash loans | F | Y | Y | 0 | 225000.000 | 1473871.5 | 43222.5 | 1287000.0 | Unaccompanied | Pensioner | Higher education | Married | House / apartment | 0.010006 | -21940 | 365243 | -8567.0 | -2556 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.545600 | 0.508748 | 0.406617 | 2.0 | 0.0 | 2.0 | 0.0 | -2507.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 |
| 306959 | 455631 | 0 | Cash loans | F | N | N | 0 | 90000.000 | 557770.5 | 18562.5 | 481500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.018801 | -22796 | 365243 | -2950.0 | -1975 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | SATURDAY | 13 | 0 | 0 | 0 | 1 | 0 | 0 | XNA | NaN | 0.172738 | 0.108924 | 3.0 | 0.0 | 3.0 | 0.0 | -1817.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 306960 | 455632 | 0 | Revolving loans | F | Y | N | 0 | 225000.000 | 360000.0 | 18000.0 | 360000.0 | Unaccompanied | State servant | Higher education | Married | House / apartment | 0.018801 | -19158 | -6319 | -8498.0 | -2696 | 14.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Government | NaN | 0.592137 | 0.457900 | 0.0 | 0.0 | 0.0 | 0.0 | -2285.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 |
| 306962 | 455634 | 0 | Cash loans | F | N | Y | 1 | 112500.000 | 755190.0 | 32125.5 | 675000.0 | Family | Working | Secondary / secondary special | Married | House / apartment | 0.028663 | -13266 | -3158 | -783.0 | -4039 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 3.0 | 2 | 2 | MONDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.519191 | 0.556668 | 0.583238 | 0.0 | 0.0 | 0.0 | 0.0 | -1540.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 306965 | 455639 | 0 | Cash loans | M | Y | Y | 0 | 90000.000 | 505066.5 | 27036.0 | 468000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.007114 | -20163 | 365243 | -3132.0 | -3563 | 22.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | SATURDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.480171 | 0.302818 | 0.593718 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 2.0 |
| 306970 | 455647 | 0 | Cash loans | F | N | Y | 0 | 67500.000 | 67500.0 | 7047.0 | 67500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.028663 | -24124 | 365243 | -4750.0 | -4756 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | MONDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.683154 | 0.328115 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -312.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 306974 | 455653 | 0 | Cash loans | F | N | Y | 2 | 135000.000 | 779688.0 | 39937.5 | 630000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Civil marriage | House / apartment | 0.005084 | -13631 | -234 | -1092.0 | -4694 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 4.0 | 2 | 2 | FRIDAY | 13 | 0 | 0 | 0 | 0 | 1 | 1 | Industry: type 3 | NaN | 0.568651 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -573.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 306979 | 455659 | 0 | Cash loans | F | N | Y | 0 | 135000.000 | 417024.0 | 20191.5 | 360000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.030755 | -23090 | 365243 | -13408.0 | -4185 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | FRIDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.633567 | 0.130129 | 1.0 | 0.0 | 1.0 | 0.0 | -398.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 306980 | 455660 | 0 | Cash loans | F | N | Y | 0 | 157500.000 | 802773.0 | 26658.0 | 693000.0 | Family | Pensioner | Secondary / secondary special | Married | House / apartment | 0.030755 | -20160 | 365243 | -7228.0 | -2542 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.655955 | 0.669057 | 0.0 | 0.0 | 0.0 | 0.0 | -450.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 306982 | 455662 | 0 | Cash loans | F | Y | Y | 0 | 202500.000 | 1724220.0 | 47542.5 | 1350000.0 | Unaccompanied | State servant | Secondary / secondary special | Married | House / apartment | 0.030755 | -16983 | -5323 | -355.0 | -527 | 9.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Other | NaN | 0.663705 | 0.604113 | 0.0 | 0.0 | 0.0 | 0.0 | -876.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 4.0 | 0.0 | 0.0 |
| 306987 | 455667 | 0 | Cash loans | M | N | Y | 0 | 90000.000 | 152820.0 | 15241.5 | 135000.0 | Unaccompanied | Pensioner | Higher education | Married | House / apartment | 0.035792 | -24779 | 365243 | -2575.0 | -3052 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.357342 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -2016.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 306988 | 455668 | 0 | Cash loans | F | N | Y | 0 | 112500.000 | 348264.0 | 19575.0 | 315000.0 | Family | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.022625 | -15882 | -3670 | -7771.0 | -4551 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Construction | 0.821632 | 0.647433 | NaN | 5.0 | 0.0 | 5.0 | 0.0 | -1080.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 306992 | 455672 | 0 | Cash loans | F | N | Y | 0 | 270000.000 | 900000.0 | 26316.0 | 900000.0 | Family | Pensioner | Higher education | Married | House / apartment | 0.011703 | -21340 | 365243 | -4133.0 | -4567 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.873857 | 0.720865 | 0.475850 | 6.0 | 0.0 | 6.0 | 0.0 | -421.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 |
| 306996 | 455676 | 0 | Cash loans | F | N | N | 2 | 130500.000 | 550980.0 | 33835.5 | 450000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.009657 | -11337 | -2569 | -4682.0 | -3484 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 4.0 | 2 | 2 | TUESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.195272 | 0.350074 | 0.662638 | 0.0 | 0.0 | 0.0 | 0.0 | -995.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | 0.0 |
| 307002 | 455682 | 0 | Cash loans | M | Y | N | 0 | 546250.500 | 1800000.0 | 166572.0 | 1800000.0 | Unaccompanied | Commercial associate | Incomplete higher | Married | House / apartment | 0.030755 | -11315 | -1992 | -6058.0 | -234 | 3.0 | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | MONDAY | 11 | 1 | 1 | 0 | 1 | 1 | 0 | Insurance | 0.339781 | 0.594654 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1278.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307008 | 455688 | 0 | Cash loans | F | N | N | 0 | 90000.000 | 315000.0 | 15151.5 | 315000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Single / not married | House / apartment | 0.010006 | -21306 | 365243 | -5447.0 | -3869 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | MONDAY | 19 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.360734 | 0.689479 | 3.0 | 0.0 | 3.0 | 0.0 | -3021.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307010 | 455690 | 0 | Cash loans | F | N | Y | 1 | 90000.000 | 331834.5 | 17073.0 | 252000.0 | Unaccompanied | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.022800 | -13777 | -891 | -5635.0 | -4571 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 3.0 | 2 | 2 | WEDNESDAY | 15 | 0 | 0 | 0 | 1 | 1 | 1 | Business Entity Type 2 | 0.260904 | 0.508923 | 0.659406 | 0.0 | 0.0 | 0.0 | 0.0 | -553.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307012 | 455692 | 0 | Cash loans | M | N | Y | 1 | 135000.000 | 148365.0 | 13738.5 | 135000.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.046220 | -9351 | -1283 | -8970.0 | -1422 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 3.0 | 1 | 1 | SUNDAY | 10 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | NaN | 0.133115 | 0.298595 | 2.0 | 1.0 | 2.0 | 1.0 | -347.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 307018 | 455701 | 0 | Cash loans | F | N | N | 0 | 90000.000 | 135000.0 | 11547.0 | 135000.0 | Unaccompanied | Working | Higher education | Single / not married | House / apartment | 0.025164 | -9382 | -645 | -7150.0 | -2052 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | WEDNESDAY | 14 | 0 | 0 | 0 | 1 | 1 | 0 | Business Entity Type 3 | 0.173886 | 0.083107 | 0.323311 | 0.0 | 0.0 | 0.0 | 0.0 | -439.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 5.0 |
| 307020 | 455704 | 0 | Cash loans | F | N | Y | 0 | 76500.000 | 225000.0 | 22050.0 | 225000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.028663 | -24646 | 365243 | -1540.0 | -4590 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | MONDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.514305 | NaN | 5.0 | 0.0 | 5.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307024 | 455708 | 0 | Cash loans | F | Y | Y | 0 | 225000.000 | 1035832.5 | 33543.0 | 904500.0 | Spouse, partner | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.072508 | -19046 | -1693 | -8796.0 | -2528 | 20.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 2.0 | 1 | 1 | SUNDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.747893 | 0.725736 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -1936.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307028 | 455712 | 0 | Cash loans | F | N | Y | 0 | 220500.000 | 1006920.0 | 51543.0 | 900000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.007020 | -20625 | 365243 | -4440.0 | -1692 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.371518 | 0.238278 | 0.394495 | 0.0 | 0.0 | 0.0 | 0.0 | -274.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307029 | 455713 | 0 | Cash loans | F | Y | N | 2 | 153000.000 | 808650.0 | 26217.0 | 675000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Separated | House / apartment | 0.008625 | -20934 | 365243 | -12709.0 | -4376 | 64.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 3.0 | 2 | 2 | WEDNESDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.914571 | NaN | 0.725276 | 0.0 | 0.0 | 0.0 | 0.0 | -1110.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307042 | 455726 | 1 | Cash loans | F | N | N | 1 | 162000.000 | 521280.0 | 26743.5 | 450000.0 | Unaccompanied | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.030755 | -11433 | -852 | -5215.0 | -1503 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 3.0 | 2 | 2 | TUESDAY | 12 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 2 | NaN | 0.232036 | 0.651260 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 6.0 |
| 307043 | 455727 | 0 | Cash loans | F | N | Y | 0 | 63000.000 | 517266.0 | 25015.5 | 387000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.031329 | -23102 | 365243 | -4175.0 | -4814 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | SATURDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.567347 | 0.768808 | 0.0 | 0.0 | 0.0 | 0.0 | -243.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 |
| 307046 | 455730 | 0 | Revolving loans | M | Y | Y | 1 | 247500.000 | 270000.0 | 13500.0 | 270000.0 | Unaccompanied | Commercial associate | Incomplete higher | Married | House / apartment | 0.072508 | -8879 | -987 | -8849.0 | -1526 | 3.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 3.0 | 1 | 1 | THURSDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Industry: type 11 | NaN | 0.710799 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -787.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307053 | 455737 | 0 | Cash loans | F | N | Y | 0 | 112500.000 | 254700.0 | 14350.5 | 225000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.019689 | -24022 | 365243 | -5695.0 | -4623 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | SUNDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.198762 | 0.773896 | 0.0 | 0.0 | 0.0 | 0.0 | -1515.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 4.0 |
| 307054 | 455738 | 0 | Cash loans | F | N | Y | 1 | 135000.000 | 805500.0 | 57415.5 | 805500.0 | Family | Pensioner | Secondary / secondary special | Married | House / apartment | 0.015221 | -20593 | 365243 | -7554.0 | -4081 | 0.0 | 1 | 0 | 0 | 1 | 0 | 1 | NaN | 3.0 | 2 | 2 | WEDNESDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.626857 | 0.776368 | 0.643026 | 0.0 | 0.0 | 0.0 | 0.0 | -1663.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307058 | 455743 | 0 | Cash loans | M | N | Y | 0 | 427500.000 | 1113840.0 | 60552.0 | 900000.0 | Unaccompanied | Pensioner | Higher education | Separated | House / apartment | 0.046220 | -23029 | 365243 | -608.0 | -3005 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 1 | 1 | MONDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.644417 | 0.352340 | 0.0 | 0.0 | 0.0 | 0.0 | -426.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307060 | 455745 | 0 | Cash loans | M | Y | N | 0 | 121500.000 | 605439.0 | 31041.0 | 481500.0 | Other_B | Working | Secondary / secondary special | Single / not married | With parents | 0.010643 | -8430 | -284 | -4197.0 | -980 | 10.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | THURSDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Industry: type 1 | NaN | 0.245269 | 0.294083 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307062 | 455747 | 0 | Cash loans | F | N | Y | 0 | 110250.000 | 740704.5 | 32755.5 | 598500.0 | Children | Pensioner | Secondary / secondary special | Married | House / apartment | 0.010147 | -21490 | 365243 | -12337.0 | -4341 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.725128 | 0.450417 | 0.565608 | 6.0 | 0.0 | 6.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307069 | 455759 | 0 | Cash loans | F | N | Y | 0 | 130500.000 | 1350000.0 | 70033.5 | 1350000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.018029 | -18812 | -5356 | -6194.0 | -2288 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 2.0 | 3 | 3 | THURSDAY | 6 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.677139 | 0.274529 | 0.802745 | 2.0 | 0.0 | 2.0 | 0.0 | -315.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 |
| 307070 | 455760 | 0 | Cash loans | M | Y | Y | 0 | 112500.000 | 585000.0 | 17230.5 | 585000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.026392 | -15834 | -2576 | -8326.0 | -4260 | 8.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | SATURDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Other | NaN | 0.708402 | 0.761026 | 1.0 | 0.0 | 1.0 | 0.0 | -1521.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 307076 | 455766 | 0 | Revolving loans | F | Y | Y | 0 | 112500.000 | 315000.0 | 15750.0 | 315000.0 | Family | Pensioner | Secondary / secondary special | Married | House / apartment | 0.008625 | -21387 | 365243 | -13564.0 | -1249 | 64.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | SATURDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.135198 | 0.593718 | 0.0 | 0.0 | 0.0 | 0.0 | -527.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307078 | 455768 | 0 | Cash loans | F | N | Y | 0 | 202500.000 | 1506816.0 | 47313.0 | 1350000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Civil marriage | House / apartment | 0.032561 | -20263 | -1560 | -6983.0 | -3794 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 2.0 | 1 | 1 | TUESDAY | 19 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.769316 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -3062.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307080 | 455770 | 0 | Cash loans | F | N | Y | 0 | 90000.000 | 656811.0 | 21834.0 | 567000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.025164 | -20867 | 365243 | -4112.0 | -4273 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.633516 | 0.368969 | 2.0 | 1.0 | 2.0 | 1.0 | -1165.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 3.0 |
| 307081 | 455771 | 0 | Cash loans | M | N | Y | 0 | 157500.000 | 343800.0 | 16155.0 | 225000.0 | Unaccompanied | Working | Secondary / secondary special | Single / not married | House / apartment | 0.014464 | -9434 | -1168 | -3662.0 | -2100 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | THURSDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.249562 | 0.598784 | 0.636376 | 1.0 | 1.0 | 1.0 | 1.0 | -471.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307085 | 455775 | 0 | Cash loans | M | N | N | 0 | 180000.000 | 454500.0 | 19255.5 | 454500.0 | Family | Working | Secondary / secondary special | Single / not married | House / apartment | 0.008866 | -9383 | -674 | -894.0 | -2018 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | TUESDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Other | NaN | 0.557180 | 0.315472 | 0.0 | 0.0 | 0.0 | 0.0 | -1809.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307087 | 455777 | 0 | Cash loans | M | Y | Y | 0 | 90000.000 | 970380.0 | 28372.5 | 810000.0 | Unaccompanied | Working | Incomplete higher | Married | With parents | 0.005084 | -12301 | -2745 | -916.0 | -4452 | 7.0 | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.571141 | 0.674880 | 0.247191 | 1.0 | 0.0 | 1.0 | 0.0 | -633.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 307088 | 455778 | 0 | Cash loans | F | N | Y | 0 | 90000.000 | 99000.0 | 9387.0 | 99000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Separated | House / apartment | 0.026392 | -22636 | 365243 | -9202.0 | -4385 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | SATURDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.692101 | 0.643026 | 9.0 | 1.0 | 9.0 | 1.0 | -1939.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307089 | 455779 | 0 | Cash loans | F | N | Y | 0 | 90000.000 | 508495.5 | 19894.5 | 454500.0 | Family | Pensioner | Secondary / secondary special | Separated | House / apartment | 0.019101 | -21748 | 365243 | -8438.0 | -4538 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | FRIDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.331808 | 0.798137 | 8.0 | 1.0 | 8.0 | 1.0 | -3233.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 2.0 |
| 307093 | 455783 | 0 | Cash loans | F | N | Y | 0 | 112500.000 | 364896.0 | 22180.5 | 315000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.008068 | -21029 | 365243 | -765.0 | -4438 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 3 | WEDNESDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.702784 | 0.494371 | 0.549597 | 5.0 | 0.0 | 5.0 | 0.0 | -615.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 307095 | 455785 | 0 | Cash loans | F | Y | Y | 0 | 135000.000 | 2013840.0 | 53253.0 | 1800000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.031329 | -20296 | 365243 | -5953.0 | -1633 | 3.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.546025 | 0.212177 | 0.746300 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 3.0 | 1.0 | 2.0 |
| 307099 | 455790 | 0 | Cash loans | F | N | Y | 0 | 135000.000 | 454500.0 | 33394.5 | 454500.0 | Family | Working | Secondary / secondary special | Married | House / apartment | 0.015221 | -19181 | -2334 | -9844.0 | -2726 | 0.0 | 1 | 1 | 0 | 1 | 1 | 1 | NaN | 2.0 | 2 | 2 | THURSDAY | 9 | 0 | 0 | 0 | 0 | 1 | 1 | Government | NaN | 0.397631 | 0.194068 | 0.0 | 0.0 | 0.0 | 0.0 | -777.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307106 | 455797 | 0 | Cash loans | F | N | Y | 0 | 103500.000 | 454500.0 | 19386.0 | 454500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.026392 | -23152 | 365243 | -4877.0 | -4243 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | MONDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.725104 | 0.852828 | 3.0 | 1.0 | 3.0 | 0.0 | -354.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 |
| 307107 | 455799 | 0 | Cash loans | F | N | Y | 0 | 90000.000 | 558855.0 | 31333.5 | 477000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.025164 | -21527 | 365243 | -3292.0 | -4930 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.153571 | NaN | 2.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 |
| 307109 | 455801 | 0 | Cash loans | F | N | Y | 0 | 360000.000 | 685012.5 | 29151.0 | 553500.0 | Unaccompanied | State servant | Higher education | Single / not married | House / apartment | 0.003813 | -15483 | -7418 | -5779.0 | -4533 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | SATURDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Police | 0.713437 | 0.525865 | 0.228883 | 1.0 | 0.0 | 1.0 | 0.0 | -723.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 7.0 |
| 307113 | 455809 | 0 | Cash loans | F | N | Y | 1 | 94500.000 | 203760.0 | 11506.5 | 180000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.018801 | -15309 | -477 | -932.0 | -4768 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 3.0 | 2 | 2 | TUESDAY | 9 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | NaN | 0.597533 | 0.827703 | 2.0 | 0.0 | 2.0 | 0.0 | -61.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307114 | 455810 | 0 | Cash loans | M | N | Y | 0 | 202500.000 | 450000.0 | 21888.0 | 450000.0 | Family | Working | Higher education | Single / not married | House / apartment | 0.018850 | -19279 | -589 | -2287.0 | -2808 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | TUESDAY | 14 | 0 | 1 | 1 | 0 | 1 | 1 | Transport: type 4 | NaN | 0.666481 | 0.604113 | 0.0 | 0.0 | 0.0 | 0.0 | -1211.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 3.0 |
| 307116 | 455812 | 0 | Cash loans | F | N | Y | 0 | 67500.000 | 181989.0 | 8482.5 | 143977.5 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.031329 | -21453 | 365243 | -10654.0 | -4909 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | WEDNESDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.544787 | NaN | 2.0 | 0.0 | 2.0 | 0.0 | -3017.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307119 | 455815 | 0 | Cash loans | F | N | Y | 0 | 112500.000 | 254700.0 | 14751.0 | 225000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Single / not married | House / apartment | 0.018634 | -24403 | 365243 | -11864.0 | -4037 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | TUESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.765922 | 0.484851 | 1.0 | 1.0 | 1.0 | 1.0 | -1538.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 9.0 |
| 307120 | 455816 | 0 | Cash loans | F | N | Y | 0 | 360000.000 | 1159758.0 | 61920.0 | 1044000.0 | Unaccompanied | Pensioner | Higher education | Separated | House / apartment | 0.035792 | -21169 | 365243 | -5.0 | -4641 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | THURSDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.688154 | 0.633032 | 0.0 | 0.0 | 0.0 | 0.0 | -1842.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 |
| 307128 | 455824 | 0 | Revolving loans | F | N | Y | 0 | 81000.000 | 180000.0 | 9000.0 | 180000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.031329 | -23366 | 365243 | -1078.0 | -5334 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.673386 | 0.643026 | 2.0 | 0.0 | 2.0 | 0.0 | -238.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 |
| 307129 | 455825 | 0 | Revolving loans | F | N | Y | 0 | 360000.000 | 765000.0 | 38250.0 | 765000.0 | Unaccompanied | Pensioner | Higher education | Single / not married | House / apartment | 0.020713 | -22143 | 365243 | -14798.0 | -4855 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 3 | 2 | TUESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.281308 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -519.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307134 | 455831 | 0 | Cash loans | F | N | Y | 0 | 110250.000 | 254700.0 | 14620.5 | 225000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.014464 | -24063 | 365243 | -11204.0 | -4302 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 4 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.667220 | 0.835777 | 0.0 | 0.0 | 0.0 | 0.0 | -330.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307135 | 455832 | 0 | Cash loans | F | N | Y | 0 | 180000.000 | 239850.0 | 23494.5 | 225000.0 | Family | Pensioner | Secondary / secondary special | Married | House / apartment | 0.072508 | -24907 | 365243 | -11031.0 | -5583 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 1 | 1 | TUESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.406136 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -798.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307141 | 455838 | 0 | Cash loans | F | N | Y | 0 | 67500.000 | 225000.0 | 12694.5 | 225000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.018801 | -20676 | 365243 | -742.0 | -3562 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | TUESDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.237061 | 0.531686 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | 2.0 |
| 307142 | 455839 | 0 | Cash loans | F | Y | Y | 0 | 337500.000 | 454500.0 | 20151.0 | 454500.0 | Unaccompanied | Pensioner | Higher education | Married | House / apartment | 0.072508 | -20802 | 365243 | -8260.0 | -4263 | 4.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 1 | 1 | WEDNESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.358696 | 0.610374 | 0.819318 | 2.0 | 0.0 | 2.0 | 0.0 | -1506.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 307146 | 455844 | 0 | Cash loans | F | N | N | 0 | 157500.000 | 288994.5 | 28282.5 | 274500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.014464 | -19873 | 365243 | -7025.0 | -3425 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.574541 | 0.528093 | 1.0 | 0.0 | 1.0 | 0.0 | -2367.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307147 | 455845 | 0 | Cash loans | F | N | Y | 0 | 225000.000 | 951538.5 | 51750.0 | 850500.0 | Family | Working | Higher education | Civil marriage | With parents | 0.020713 | -8873 | -1034 | -8821.0 | -1542 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 1 | SUNDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Transport: type 4 | 0.380258 | 0.643595 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -902.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307150 | 455848 | 0 | Cash loans | F | N | Y | 0 | 90000.000 | 1212426.0 | 35451.0 | 868500.0 | Family | Working | Secondary / secondary special | Married | House / apartment | 0.035792 | -17002 | -860 | -5893.0 | -556 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | MONDAY | 9 | 0 | 1 | 1 | 0 | 1 | 1 | Self-employed | NaN | 0.607562 | NaN | 3.0 | 0.0 | 3.0 | 0.0 | -618.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307151 | 455851 | 0 | Cash loans | M | N | N | 0 | 247500.000 | 298512.0 | 19435.5 | 270000.0 | Unaccompanied | Working | Secondary / secondary special | Single / not married | House / apartment | 0.008019 | -8701 | -1695 | -619.0 | -1381 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | FRIDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.437672 | 0.517297 | 8.0 | 0.0 | 8.0 | 0.0 | -741.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 |
| 307153 | 455855 | 0 | Cash loans | F | N | Y | 0 | 112500.000 | 1125000.0 | 33025.5 | 1125000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Civil marriage | House / apartment | 0.026392 | -22342 | 365243 | -879.0 | -4037 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | MONDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.698968 | 0.591977 | 0.0 | 0.0 | 0.0 | 0.0 | -1929.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307156 | 455858 | 0 | Cash loans | F | Y | N | 0 | 121500.000 | 900000.0 | 29034.0 | 900000.0 | Unaccompanied | Pensioner | Higher education | Married | House / apartment | 0.018209 | -20254 | 365243 | -5936.0 | -3805 | 10.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 3 | 3 | FRIDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.671865 | 0.528688 | 0.323311 | 0.0 | 0.0 | 0.0 | 0.0 | -136.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 307162 | 455865 | 1 | Cash loans | M | N | N | 0 | 180000.000 | 450000.0 | 30573.0 | 450000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.014464 | -17051 | -1312 | -2033.0 | -592 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | SATURDAY | 4 | 0 | 0 | 0 | 0 | 0 | 0 | Industry: type 9 | NaN | 0.400636 | 0.294083 | 1.0 | 0.0 | 1.0 | 0.0 | -753.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 3.0 |
| 307166 | 455869 | 0 | Cash loans | F | N | Y | 0 | 225000.000 | 1312110.0 | 55723.5 | 1125000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.035792 | -19094 | 365243 | -6304.0 | -2559 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | MONDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.583203 | 0.740799 | 0.0 | 0.0 | 0.0 | 0.0 | -347.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307167 | 455870 | 0 | Cash loans | M | Y | Y | 0 | 225000.000 | 1174090.5 | 46692.0 | 1080000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.019101 | -22704 | 365243 | -11452.0 | -4584 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.754799 | 0.647977 | 5.0 | 1.0 | 5.0 | 0.0 | -706.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 307179 | 455882 | 0 | Cash loans | F | N | Y | 0 | 112500.000 | 254700.0 | 14350.5 | 225000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.011703 | -22560 | 365243 | -5322.0 | -4055 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | SATURDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.109559 | 0.771362 | 0.0 | 0.0 | 0.0 | 0.0 | -25.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 |
| 307182 | 455885 | 0 | Cash loans | F | N | Y | 0 | 360000.000 | 229365.0 | 21163.5 | 198000.0 | Family | Pensioner | Secondary / secondary special | Married | House / apartment | 0.046220 | -20083 | 365243 | -789.0 | -3408 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 1 | 1 | TUESDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.668641 | 0.522697 | 3.0 | 0.0 | 3.0 | 0.0 | -627.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 |
| 307188 | 455891 | 0 | Revolving loans | F | N | Y | 0 | 180000.000 | 382500.0 | 19125.0 | 382500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.007330 | -22338 | 365243 | -9335.0 | -4136 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | TUESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.651713 | 0.766234 | 0.0 | 0.0 | 0.0 | 0.0 | -1194.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 3.0 |
| 307190 | 455893 | 0 | Cash loans | F | N | Y | 1 | 148500.000 | 840996.0 | 24718.5 | 702000.0 | Family | Working | Secondary / secondary special | Separated | House / apartment | 0.008474 | -13712 | -2409 | -2885.0 | -4986 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.461635 | 0.499504 | 0.347418 | 0.0 | 0.0 | 0.0 | 0.0 | -1596.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307193 | 455896 | 0 | Cash loans | F | N | N | 0 | 81000.000 | 323388.0 | 31630.5 | 292500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | Municipal apartment | 0.031329 | -22213 | 365243 | -9111.0 | -4609 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | SATURDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.623674 | 0.777659 | 1.0 | 1.0 | 1.0 | 1.0 | -1784.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307194 | 455898 | 0 | Cash loans | F | Y | Y | 0 | 157500.000 | 450000.0 | 22018.5 | 450000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.026392 | -16247 | -1374 | -3004.0 | -2003 | 2.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 15 | 0 | 0 | 0 | 1 | 1 | 0 | Self-employed | NaN | 0.411336 | 0.522697 | 0.0 | 0.0 | 0.0 | 0.0 | -1691.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 4.0 | 0.0 | 2.0 |
| 307195 | 455899 | 0 | Cash loans | M | Y | Y | 0 | 202500.000 | 269550.0 | 19300.5 | 225000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.035792 | -16073 | 365243 | -277.0 | -4435 | 5.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | SATURDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.277852 | 0.756954 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -690.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307197 | 455901 | 0 | Cash loans | F | N | N | 0 | 202500.000 | 728460.0 | 38578.5 | 675000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.007020 | -22054 | 365243 | -2509.0 | -4519 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.289478 | NaN | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 |
| 307199 | 455904 | 0 | Revolving loans | M | Y | Y | 2 | 202500.000 | 270000.0 | 13500.0 | 270000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.019689 | -12110 | -694 | -2554.0 | -3820 | 2.0 | 1 | 1 | 0 | 1 | 0 | 1 | NaN | 4.0 | 2 | 2 | TUESDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.604201 | 0.765310 | 0.225087 | 2.0 | 0.0 | 2.0 | 0.0 | -3079.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 307201 | 455906 | 0 | Cash loans | F | N | N | 0 | 130500.000 | 545040.0 | 26640.0 | 450000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Separated | House / apartment | 0.018801 | -21412 | 365243 | -9105.0 | -4720 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | WEDNESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.681215 | 0.553590 | 0.621226 | 0.0 | 0.0 | 0.0 | 0.0 | -2179.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 |
| 307203 | 455911 | 0 | Cash loans | F | N | Y | 0 | 112500.000 | 536917.5 | 19413.0 | 463500.0 | Unaccompanied | Working | Secondary / secondary special | Separated | House / apartment | 0.010147 | -19746 | -4093 | -8884.0 | -3287 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | FRIDAY | 10 | 0 | 0 | 0 | 0 | 1 | 1 | Self-employed | 0.817352 | 0.603948 | 0.609276 | 5.0 | 0.0 | 5.0 | 0.0 | -376.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307207 | 455915 | 0 | Cash loans | F | N | Y | 0 | 36000.000 | 225000.0 | 20952.0 | 225000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.015221 | -18442 | -1963 | -6810.0 | -1972 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 7 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.486999 | 0.761026 | 0.0 | 0.0 | 0.0 | 0.0 | -1120.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 |
| 307208 | 455916 | 0 | Cash loans | F | N | Y | 0 | 315000.000 | 646920.0 | 20997.0 | 540000.0 | Unaccompanied | State servant | Secondary / secondary special | Civil marriage | House / apartment | 0.011703 | -18005 | -1020 | -8833.0 | -1552 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 18 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.721364 | 0.504588 | 0.562060 | 4.0 | 0.0 | 4.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 307211 | 455919 | 0 | Cash loans | F | N | N | 0 | 76500.000 | 448056.0 | 16092.0 | 315000.0 | Family | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.022800 | -22723 | 365243 | -4840.0 | -4095 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | WEDNESDAY | 17 | 0 | 0 | 0 | 1 | 0 | 0 | XNA | 0.849093 | 0.265256 | 0.171468 | 4.0 | 0.0 | 4.0 | 0.0 | -1858.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 5.0 |
| 307212 | 455920 | 0 | Cash loans | F | N | N | 0 | 189000.000 | 206271.0 | 19584.0 | 193500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Separated | Co-op apartment | 0.072508 | -22699 | 365243 | -841.0 | -782 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 1 | 1 | SATURDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.731512 | 0.243186 | 0.0 | 0.0 | 0.0 | 0.0 | -1613.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 |
| 307213 | 455921 | 0 | Cash loans | F | N | Y | 0 | 95850.000 | 518562.0 | 20695.5 | 463500.0 | Spouse, partner | Commercial associate | Secondary / secondary special | Single / not married | House / apartment | 0.022800 | -17659 | -10481 | -545.0 | -1195 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | THURSDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.841603 | 0.710246 | 0.450747 | 1.0 | 1.0 | 1.0 | 1.0 | -414.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 |
| 307216 | 455924 | 0 | Cash loans | F | Y | Y | 0 | 225000.000 | 1827549.0 | 50386.5 | 1525500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.072508 | -18772 | 365243 | -798.0 | -48 | 6.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 1 | 1 | TUESDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.673478 | 0.774887 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -2056.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307221 | 455929 | 0 | Cash loans | F | N | N | 0 | 319500.000 | 341280.0 | 21006.0 | 270000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.006207 | -20959 | 365243 | -10773.0 | -4248 | 0.0 | 1 | 0 | 0 | 1 | 0 | 1 | NaN | 2.0 | 2 | 2 | MONDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.271941 | 0.715103 | 2.0 | 1.0 | 2.0 | 1.0 | -371.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 307228 | 455936 | 0 | Cash loans | M | N | N | 0 | 180000.000 | 239850.0 | 25578.0 | 225000.0 | Family | Working | Secondary / secondary special | Single / not married | House / apartment | 0.028663 | -11682 | -299 | -6711.0 | -2787 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | TUESDAY | 10 | 0 | 1 | 1 | 0 | 1 | 1 | Business Entity Type 1 | NaN | 0.358971 | 0.595456 | 0.0 | 0.0 | 0.0 | 0.0 | -304.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307232 | 455941 | 0 | Cash loans | M | Y | Y | 0 | 315000.000 | 1007761.5 | 42826.5 | 927000.0 | Spouse, partner | Pensioner | Secondary / secondary special | Married | House / apartment | 0.020246 | -19065 | 365243 | -8465.0 | -985 | 3.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 3 | SATURDAY | 7 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.471354 | 0.712155 | 4.0 | 0.0 | 4.0 | 0.0 | -2602.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 1.0 |
| 307235 | 455944 | 0 | Revolving loans | F | N | Y | 0 | 63000.000 | 180000.0 | 9000.0 | 180000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.009657 | -23530 | 365243 | -2210.0 | -4239 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | MONDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.462352 | 0.634706 | 0.0 | 0.0 | 0.0 | 0.0 | -618.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307241 | 455950 | 0 | Cash loans | F | N | Y | 0 | 135000.000 | 1047771.0 | 37764.0 | 904500.0 | Family | Pensioner | Secondary / secondary special | Civil marriage | House / apartment | 0.022625 | -20441 | 365243 | -7007.0 | -3656 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.545936 | 0.656158 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 307242 | 455951 | 0 | Cash loans | M | Y | N | 2 | 247500.000 | 1125000.0 | 50314.5 | 1125000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.028663 | -16555 | -5395 | -7365.0 | -6 | 14.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 4.0 | 2 | 2 | THURSDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Housing | 0.690567 | 0.540695 | 0.226347 | 2.0 | 0.0 | 2.0 | 0.0 | -2582.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307243 | 455952 | 0 | Cash loans | F | N | Y | 0 | 202500.000 | 247500.0 | 12037.5 | 247500.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.019689 | -18496 | -3891 | -2034.0 | -2034 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 1 | NaN | 0.629282 | 0.579727 | 4.0 | 0.0 | 4.0 | 0.0 | -2133.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 |
| 307245 | 455954 | 0 | Cash loans | F | N | N | 1 | 256500.000 | 1381500.0 | 48019.5 | 1381500.0 | Unaccompanied | Commercial associate | Higher education | Married | House / apartment | 0.010556 | -14013 | -1365 | -8025.0 | -4126 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 3.0 | 3 | 3 | FRIDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | 0.354213 | 0.316102 | 0.631355 | 0.0 | 0.0 | 0.0 | 0.0 | -2660.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 9.0 |
| 307251 | 455968 | 0 | Cash loans | F | N | Y | 1 | 135000.000 | 1024290.0 | 30078.0 | 855000.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.022625 | -13963 | -2268 | -3965.0 | -3749 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 3.0 | 2 | 2 | MONDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.417827 | 0.586267 | 0.560284 | 1.0 | 0.0 | 1.0 | 0.0 | -844.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 5.0 |
| 307255 | 455972 | 0 | Cash loans | F | N | Y | 0 | 189000.000 | 422451.0 | 16056.0 | 297000.0 | Unaccompanied | Pensioner | Higher education | Separated | House / apartment | 0.006008 | -21124 | 365243 | -7531.0 | -4000 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | FRIDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.709917 | 0.529890 | 0.0 | 0.0 | 0.0 | 0.0 | -468.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 7.0 |
| 307256 | 455973 | 1 | Cash loans | F | N | Y | 0 | 58500.000 | 183384.0 | 14485.5 | 162000.0 | Family | Working | Secondary / secondary special | Married | House / apartment | 0.022625 | -18720 | -1084 | -7274.0 | -2262 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.677925 | 0.506021 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -320.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307258 | 455975 | 0 | Cash loans | F | N | Y | 0 | 360000.000 | 673875.0 | 19309.5 | 562500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.008019 | -23082 | 365243 | -8946.0 | -4089 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.827065 | 0.559952 | 0.612704 | 0.0 | 0.0 | 0.0 | 0.0 | -1996.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307259 | 455976 | 0 | Cash loans | F | Y | Y | 1 | 202500.000 | 1312110.0 | 55723.5 | 1125000.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.010032 | -16825 | -1938 | -9740.0 | -368 | 16.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 3.0 | 2 | 2 | MONDAY | 6 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.703616 | 0.624177 | 0.829750 | 1.0 | 1.0 | 1.0 | 1.0 | -2468.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 | 1.0 |
| 307260 | 455977 | 0 | Cash loans | M | N | Y | 0 | 112500.000 | 275040.0 | 10498.5 | 180000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.046220 | -12323 | -177 | -6433.0 | -4773 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 1 | 1 | THURSDAY | 18 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.689822 | 0.438281 | 2.0 | 0.0 | 2.0 | 0.0 | -1656.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 307263 | 455980 | 0 | Cash loans | M | N | Y | 0 | 166500.000 | 1149408.0 | 48699.0 | 985500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.004849 | -23385 | 365243 | -2749.0 | -3416 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.030889 | 0.517297 | 0.0 | 0.0 | 0.0 | 0.0 | -1900.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 3.0 |
| 307269 | 455986 | 0 | Cash loans | F | N | N | 0 | 112500.000 | 135000.0 | 7321.5 | 135000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.018634 | -22061 | 365243 | -12400.0 | -5235 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | MONDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.324561 | 0.548066 | 0.591977 | 0.0 | 0.0 | 0.0 | 0.0 | -294.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 307273 | 455990 | 0 | Cash loans | F | N | Y | 0 | 90000.000 | 260640.0 | 25906.5 | 225000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.011703 | -14862 | -1902 | -6367.0 | -4337 | 0.0 | 1 | 1 | 0 | 1 | 1 | 1 | NaN | 2.0 | 2 | 2 | SATURDAY | 11 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | 0.739150 | 0.674789 | 0.706205 | 1.0 | 1.0 | 1.0 | 1.0 | -326.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 |
| 307278 | 455995 | 0 | Cash loans | F | N | Y | 0 | 117000.000 | 152820.0 | 12073.5 | 135000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Widow | House / apartment | 0.011703 | -19367 | -4126 | -1117.0 | -2833 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | MONDAY | 10 | 0 | 0 | 0 | 0 | 1 | 1 | Industry: type 11 | NaN | 0.673583 | 0.513694 | 1.0 | 1.0 | 1.0 | 1.0 | -579.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 307283 | 456000 | 1 | Cash loans | M | Y | Y | 0 | 130500.000 | 306306.0 | 13108.5 | 247500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.020713 | -22430 | 365243 | -9842.0 | -2793 | 20.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 2 | TUESDAY | 6 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.168086 | 0.275000 | 0.0 | 0.0 | 0.0 | 0.0 | -556.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 307285 | 456002 | 1 | Cash loans | F | N | Y | 0 | 76500.000 | 284400.0 | 13963.5 | 225000.0 | Unaccompanied | Working | Secondary / secondary special | Single / not married | House / apartment | 0.020246 | -16597 | -249 | -7282.0 | -150 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 1.0 | 3 | 3 | SATURDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Transport: type 4 | NaN | 0.072944 | 0.176653 | 0.0 | 0.0 | 0.0 | 0.0 | -36.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 1.0 |
| 307292 | 456015 | 0 | Cash loans | F | Y | Y | 0 | 315000.000 | 704844.0 | 32791.5 | 630000.0 | Unaccompanied | Commercial associate | Higher education | Married | House / apartment | 0.022625 | -16627 | -2956 | -5830.0 | -153 | 1.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | MONDAY | 16 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | NaN | 0.393725 | 0.126898 | 0.0 | 0.0 | 0.0 | 0.0 | -1474.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307296 | 456019 | 0 | Cash loans | M | Y | Y | 1 | 157500.000 | 900000.0 | 50256.0 | 900000.0 | Unaccompanied | Pensioner | Higher education | Married | House / apartment | 0.005084 | -17523 | 365243 | -9330.0 | -1066 | 3.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 3.0 | 2 | 2 | THURSDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.776483 | 0.733269 | 0.537070 | 0.0 | 0.0 | 0.0 | 0.0 | -443.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 5.0 |
| 307297 | 456020 | 0 | Cash loans | F | N | Y | 0 | 180000.000 | 1147500.0 | 59544.0 | 1147500.0 | Children | Pensioner | Secondary / secondary special | Married | House / apartment | 0.010643 | -23047 | 365243 | -3368.0 | -4877 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | SATURDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.646109 | 0.771362 | 0.0 | 0.0 | 0.0 | 0.0 | -2058.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307302 | 456025 | 0 | Revolving loans | F | N | Y | 0 | 144000.000 | 180000.0 | 9000.0 | 180000.0 | Family | Working | Higher education | Single / not married | House / apartment | 0.004960 | -20650 | -10664 | -11.0 | -4211 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | SATURDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | School | 0.575790 | 0.577878 | 0.669057 | 0.0 | 0.0 | 0.0 | 0.0 | -1218.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307304 | 456027 | 0 | Cash loans | F | N | Y | 0 | 117000.000 | 625356.0 | 20173.5 | 522000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Separated | House / apartment | 0.018801 | -23694 | 365243 | -7501.0 | -4435 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | SATURDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.042862 | 0.554947 | 0.0 | 0.0 | 0.0 | 0.0 | -742.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307307 | 456031 | 0 | Cash loans | M | N | N | 0 | 270000.000 | 153000.0 | 14031.0 | 153000.0 | Unaccompanied | Working | Higher education | Single / not married | With parents | 0.014520 | -10074 | -601 | -3941.0 | -2736 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | THURSDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Transport: type 4 | NaN | 0.642003 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -322.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 307310 | 456034 | 1 | Cash loans | M | N | Y | 0 | 90000.000 | 490536.0 | 23989.5 | 405000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.018029 | -22461 | 365243 | -1660.0 | -4687 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 3 | TUESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.005430 | 0.445396 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307311 | 456035 | 0 | Cash loans | M | Y | Y | 2 | 180000.000 | 1027327.5 | 43654.5 | 945000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.002042 | -16556 | -3154 | -3803.0 | -106 | 6.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 4.0 | 3 | 3 | FRIDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Trade: type 7 | NaN | 0.114563 | NaN | 2.0 | 0.0 | 1.0 | 0.0 | -358.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307313 | 456037 | 0 | Cash loans | F | N | Y | 0 | 202500.000 | 1075500.0 | 34825.5 | 1075500.0 | Unaccompanied | Pensioner | Higher education | Married | House / apartment | 0.026392 | -21120 | 365243 | -257.0 | -4121 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | MONDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.433607 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307314 | 456038 | 0 | Revolving loans | F | N | N | 1 | 121500.000 | 382500.0 | 19125.0 | 382500.0 | Unaccompanied | Commercial associate | Higher education | Single / not married | House / apartment | 0.009175 | -16584 | -4513 | -3466.0 | -124 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 18 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | 0.864657 | 0.730342 | 0.816092 | 1.0 | 1.0 | 1.0 | 0.0 | -1451.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307318 | 456042 | 0 | Cash loans | F | N | N | 0 | 60300.000 | 143910.0 | 14017.5 | 135000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.007305 | -23277 | 365243 | -11979.0 | -4411 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 3 | 3 | WEDNESDAY | 6 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.173023 | 0.312365 | 0.0 | 0.0 | 0.0 | 0.0 | -2298.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307319 | 456043 | 0 | Cash loans | M | Y | N | 2 | 202500.000 | 675000.0 | 34596.0 | 675000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.035792 | -12463 | -1026 | -6272.0 | -4142 | 21.0 | 1 | 1 | 0 | 1 | 0 | 1 | NaN | 4.0 | 2 | 2 | THURSDAY | 14 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | 0.327762 | 0.613194 | 0.432962 | 0.0 | 0.0 | 0.0 | 0.0 | -2707.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 |
| 307325 | 456049 | 0 | Cash loans | F | N | Y | 0 | 99000.000 | 238500.0 | 17091.0 | 238500.0 | Unaccompanied | Pensioner | Higher education | Widow | House / apartment | 0.006008 | -24864 | 365243 | -7068.0 | -4032 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | WEDNESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.800134 | 0.683963 | 0.556727 | 1.0 | 0.0 | 1.0 | 0.0 | -1192.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 |
| 307327 | 456051 | 0 | Cash loans | F | N | N | 0 | 225000.000 | 406597.5 | 19557.0 | 351000.0 | Unaccompanied | Working | Secondary / secondary special | Separated | House / apartment | 0.024610 | -20214 | -2841 | -14270.0 | -3171 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | WEDNESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Services | NaN | 0.627490 | NaN | 4.0 | 0.0 | 4.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307331 | 456055 | 0 | Cash loans | F | N | Y | 0 | 333000.000 | 1113840.0 | 44302.5 | 900000.0 | Unaccompanied | Working | Higher education | Civil marriage | House / apartment | 0.010032 | -18519 | -11084 | -3208.0 | -2052 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 6 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | NaN | 0.441831 | 0.707699 | 2.0 | 2.0 | 2.0 | 2.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307333 | 456057 | 0 | Cash loans | M | Y | Y | 0 | 112500.000 | 497520.0 | 39438.0 | 450000.0 | Family | Commercial associate | Higher education | Married | House / apartment | 0.009630 | -19897 | -1724 | -10316.0 | -3374 | 13.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.460010 | 0.707699 | 0.0 | 0.0 | 0.0 | 0.0 | -597.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307337 | 456062 | 0 | Cash loans | F | N | Y | 0 | 135000.000 | 1056447.0 | 31018.5 | 922500.0 | Children | Pensioner | Secondary / secondary special | Married | House / apartment | 0.004960 | -22122 | 365243 | -7997.0 | -4703 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | MONDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.793389 | 0.747837 | 0.746300 | 3.0 | 1.0 | 3.0 | 0.0 | -747.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307338 | 456063 | 0 | Cash loans | F | N | N | 0 | 112500.000 | 719860.5 | 48298.5 | 679500.0 | Unaccompanied | Pensioner | Higher education | Married | House / apartment | 0.020713 | -22449 | 365243 | -4711.0 | -4017 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 3 | 3 | THURSDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.932105 | 0.515015 | 0.531686 | 0.0 | 0.0 | 0.0 | 0.0 | -2350.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 307341 | 456066 | 0 | Cash loans | F | N | Y | 0 | 67500.000 | 454500.0 | 14661.0 | 454500.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.024610 | -13795 | -1253 | -4516.0 | -4437 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | NaN | 0.602001 | 0.231439 | 2.0 | 1.0 | 2.0 | 1.0 | -1397.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307342 | 456067 | 0 | Cash loans | M | N | Y | 0 | 157500.000 | 1097676.0 | 32224.5 | 958500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.020246 | -22720 | 365243 | -14514.0 | -3906 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 3 | MONDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.501954 | 0.743559 | 4.0 | 1.0 | 3.0 | 1.0 | -1138.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307343 | 456068 | 0 | Cash loans | F | N | Y | 0 | 157500.000 | 766282.5 | 33885.0 | 661500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Separated | House / apartment | 0.016612 | -23108 | 365243 | -4605.0 | -640 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | FRIDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.150020 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307348 | 456073 | 0 | Cash loans | F | N | Y | 0 | 135000.000 | 755190.0 | 52690.5 | 675000.0 | Family | Pensioner | Secondary / secondary special | Civil marriage | House / apartment | 0.007330 | -22525 | 365243 | -11142.0 | -4635 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.638503 | 0.733815 | 2.0 | 0.0 | 2.0 | 0.0 | -271.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307350 | 456075 | 0 | Cash loans | M | Y | Y | 0 | 112500.000 | 717003.0 | 21091.5 | 598500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.032561 | -22732 | 365243 | -8531.0 | -4001 | 8.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 1 | 1 | SATURDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.761364 | 0.821443 | 0.0 | 0.0 | 0.0 | 0.0 | -1720.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 3.0 |
| 307352 | 456077 | 0 | Cash loans | F | N | Y | 0 | 67500.000 | 143910.0 | 14364.0 | 135000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Civil marriage | House / apartment | 0.030755 | -22355 | 365243 | -2200.0 | -3765 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.702671 | 0.111986 | 0.641368 | 0.0 | 0.0 | 0.0 | 0.0 | -734.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307353 | 456078 | 0 | Cash loans | F | N | Y | 0 | 112500.000 | 390960.0 | 21339.0 | 337500.0 | Unaccompanied | Working | Secondary / secondary special | Single / not married | House / apartment | 0.035792 | -8573 | -322 | -1822.0 | -1196 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | SUNDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | NaN | 0.269471 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307361 | 456086 | 0 | Cash loans | F | Y | Y | 0 | 92250.000 | 253737.0 | 16956.0 | 229500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.028663 | -20822 | 365243 | -4251.0 | -4263 | 23.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.748347 | 0.609208 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307362 | 456087 | 0 | Cash loans | F | N | Y | 0 | 180000.000 | 270000.0 | 12717.0 | 270000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.026392 | -11490 | -883 | -5623.0 | -805 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Other | NaN | 0.704516 | 0.370650 | 1.0 | 1.0 | 1.0 | 1.0 | -947.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 307363 | 456088 | 1 | Cash loans | F | Y | Y | 0 | 29250.000 | 663093.0 | 21519.0 | 553500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.031329 | -20086 | 365243 | -2195.0 | -2216 | 7.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.791993 | 0.266520 | 0.360613 | 3.0 | 1.0 | 3.0 | 1.0 | -1463.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 5.0 |
| 307369 | 456094 | 0 | Cash loans | M | N | Y | 0 | 112500.000 | 1546020.0 | 42642.0 | 1350000.0 | Spouse, partner | Pensioner | Secondary / secondary special | Married | House / apartment | 0.003069 | -23551 | 365243 | -12243.0 | -4242 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 3 | TUESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.662459 | 0.614414 | 1.0 | 0.0 | 1.0 | 0.0 | -1392.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307370 | 456095 | 0 | Cash loans | F | N | Y | 0 | 135000.000 | 986553.0 | 28975.5 | 823500.0 | Unaccompanied | Pensioner | Higher education | Married | House / apartment | 0.009630 | -19105 | 365243 | -11791.0 | -2662 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | SUNDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.285898 | 0.468660 | 5.0 | 0.0 | 5.0 | 0.0 | -2218.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 6.0 |
| 307371 | 456096 | 0 | Cash loans | F | Y | Y | 0 | 112500.000 | 728460.0 | 39676.5 | 675000.0 | Family | Commercial associate | Secondary / secondary special | Single / not married | House / apartment | 0.018801 | -19945 | -3781 | -1028.0 | -3473 | 8.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | WEDNESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 1 | NaN | 0.572739 | 0.657784 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 | 0.0 |
| 307377 | 456102 | 1 | Cash loans | M | N | Y | 0 | 67500.000 | 313438.5 | 20943.0 | 283500.0 | Unaccompanied | Working | Secondary / secondary special | Single / not married | House / apartment | 0.031329 | -10609 | -235 | -7404.0 | -3253 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | SATURDAY | 13 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 1 | NaN | 0.163187 | NaN | 9.0 | 1.0 | 9.0 | 0.0 | -4.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307386 | 456112 | 1 | Cash loans | F | N | Y | 0 | 135000.000 | 221832.0 | 17653.5 | 175500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.010147 | -20492 | 365243 | -11812.0 | -1773 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | FRIDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.786014 | 0.200589 | 0.176653 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 7.0 |
| 307387 | 456113 | 0 | Cash loans | M | N | Y | 3 | 180000.000 | 1096020.0 | 56092.5 | 900000.0 | Other_B | Commercial associate | Secondary / secondary special | Civil marriage | House / apartment | 0.032561 | -10426 | -2056 | -1780.0 | -3092 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 5.0 | 1 | 1 | SUNDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Government | NaN | NaN | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1780.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307388 | 456117 | 0 | Cash loans | M | Y | N | 1 | 67500.000 | 490536.0 | 23989.5 | 405000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.003813 | -12183 | -808 | -106.0 | -79 | 30.0 | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 3.0 | 2 | 2 | MONDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.379638 | 0.357649 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -266.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307390 | 456121 | 0 | Cash loans | F | N | Y | 0 | 81000.000 | 314100.0 | 15111.0 | 225000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.028663 | -23737 | 365243 | -2262.0 | -4407 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.312901 | 0.832785 | 0.0 | 0.0 | 0.0 | 0.0 | -301.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307392 | 456125 | 0 | Cash loans | F | N | Y | 0 | 315000.000 | 1391130.0 | 77809.5 | 1305000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.072508 | -21746 | 365243 | -4715.0 | -4544 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 1 | 1 | THURSDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.746573 | 0.515495 | 3.0 | 0.0 | 3.0 | 0.0 | -1471.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307393 | 456126 | 0 | Cash loans | F | Y | Y | 0 | 202500.000 | 544500.0 | 15921.0 | 544500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.010966 | -21305 | 365243 | -1229.0 | -3502 | 7.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.732839 | 0.677059 | 0.379100 | 1.0 | 0.0 | 1.0 | 0.0 | -1025.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 8.0 |
| 307394 | 456127 | 0 | Cash loans | M | N | N | 0 | 157500.000 | 183384.0 | 19588.5 | 162000.0 | Unaccompanied | Working | Secondary / secondary special | Married | Municipal apartment | 0.018634 | -13768 | -2496 | -1385.0 | -3888 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | NaN | 0.426249 | 0.465069 | 2.0 | 0.0 | 2.0 | 0.0 | -842.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307397 | 456130 | 0 | Cash loans | F | Y | Y | 0 | 202500.000 | 753840.0 | 22171.5 | 540000.0 | Unaccompanied | Working | Lower secondary | Married | House / apartment | 0.030755 | -14109 | -7499 | -7119.0 | -4349 | 28.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Industry: type 11 | NaN | 0.382095 | 0.754406 | 0.0 | 0.0 | 0.0 | 0.0 | -1648.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307398 | 456131 | 0 | Cash loans | F | N | Y | 0 | 69300.000 | 229500.0 | 8239.5 | 229500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Single / not married | House / apartment | 0.014520 | -22915 | 365243 | -3613.0 | -3877 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | THURSDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.353855 | 0.484851 | 0.0 | 0.0 | 0.0 | 0.0 | -1518.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 | 3.0 |
| 307401 | 456134 | 0 | Cash loans | F | Y | Y | 0 | 135000.000 | 1718473.5 | 47385.0 | 1345500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.025164 | -18980 | 365243 | -245.0 | -2513 | 9.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.266520 | 0.357293 | 0.0 | 0.0 | 0.0 | 0.0 | -1695.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 307402 | 456135 | 0 | Revolving loans | F | N | Y | 0 | 157500.000 | 382500.0 | 19125.0 | 382500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.028663 | -22554 | 365243 | -60.0 | -4051 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | TUESDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.165364 | 0.644679 | NaN | NaN | NaN | NaN | -633.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 |
| 307404 | 456137 | 0 | Cash loans | F | N | Y | 0 | 190350.000 | 675000.0 | 21906.0 | 675000.0 | Unaccompanied | Pensioner | Lower secondary | Single / not married | House / apartment | 0.022800 | -20839 | 365243 | -13162.0 | -4281 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | THURSDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.690215 | 0.303146 | 0.0 | 0.0 | 0.0 | 0.0 | -609.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307405 | 456138 | 0 | Cash loans | M | N | Y | 0 | 49500.000 | 432661.5 | 26419.5 | 373500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.006629 | -20411 | 365243 | -9617.0 | -2453 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 7 | 0 | 0 | 0 | 1 | 0 | 0 | XNA | NaN | 0.310433 | NaN | 2.0 | 0.0 | 2.0 | 0.0 | -391.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307406 | 456139 | 0 | Cash loans | F | N | Y | 0 | 90000.000 | 203760.0 | 13747.5 | 180000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.019689 | -23340 | 365243 | -7902.0 | -3982 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | MONDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.194540 | 0.484851 | 1.0 | 1.0 | 1.0 | 1.0 | -1696.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307410 | 456143 | 1 | Cash loans | F | N | Y | 0 | 85500.000 | 180000.0 | 8059.5 | 180000.0 | Unaccompanied | Working | Secondary / secondary special | Separated | House / apartment | 0.010966 | -15520 | -1592 | -6253.0 | -4306 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | FRIDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Other | NaN | 0.003404 | 0.286652 | 3.0 | 0.0 | 2.0 | 0.0 | -1697.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307411 | 456144 | 0 | Cash loans | F | N | Y | 0 | 65250.000 | 123637.5 | 8734.5 | 112500.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Civil marriage | House / apartment | 0.007020 | -14483 | -976 | -8617.0 | -4389 | 0.0 | 1 | 1 | 1 | 1 | 1 | 1 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.712351 | 0.551659 | NaN | 4.0 | 0.0 | 4.0 | 0.0 | -1723.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307412 | 456145 | 0 | Cash loans | F | N | N | 0 | 162000.000 | 900000.0 | 29034.0 | 900000.0 | Unaccompanied | Commercial associate | Higher education | Married | With parents | 0.026392 | -10592 | -2189 | -1412.0 | -2208 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | MONDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.371031 | 0.705375 | 0.652897 | 0.0 | 0.0 | 0.0 | 0.0 | -1519.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307417 | 456150 | 0 | Cash loans | F | N | N | 0 | 90000.000 | 270000.0 | 16645.5 | 270000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Separated | House / apartment | 0.018209 | -20768 | 365243 | -12176.0 | -4307 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 3 | 3 | SUNDAY | 7 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.319830 | 0.617826 | 4.0 | 0.0 | 4.0 | 0.0 | -1746.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 |
| 307420 | 456153 | 0 | Cash loans | F | N | N | 0 | 157500.000 | 1282500.0 | 48847.5 | 1282500.0 | Unaccompanied | Pensioner | Higher education | Civil marriage | House / apartment | 0.030755 | -22672 | 365243 | -8334.0 | -4924 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | MONDAY | 19 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.710066 | 0.497469 | 0.0 | 0.0 | 0.0 | 0.0 | -2054.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307421 | 456154 | 0 | Cash loans | M | Y | Y | 0 | 157500.000 | 144000.0 | 9751.5 | 144000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.010500 | -18139 | -688 | -2899.0 | -1697 | 1.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 3 | SATURDAY | 12 | 0 | 0 | 0 | 0 | 1 | 1 | Industry: type 4 | NaN | 0.333707 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -282.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 307422 | 456155 | 0 | Cash loans | F | N | Y | 0 | 202500.000 | 1971072.0 | 68643.0 | 1800000.0 | Family | Pensioner | Higher education | Married | House / apartment | 0.008575 | -22802 | 365243 | -8689.0 | -5049 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.724400 | 0.668457 | 0.738020 | 4.0 | 0.0 | 4.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307423 | 456156 | 0 | Cash loans | M | N | N | 0 | 90000.000 | 119448.0 | 7632.0 | 94500.0 | Unaccompanied | Working | Secondary / secondary special | Single / not married | House / apartment | 0.024610 | -18324 | -1127 | -9807.0 | -1855 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | WEDNESDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Transport: type 4 | 0.323674 | 0.134254 | 0.644679 | 5.0 | 0.0 | 5.0 | 0.0 | -1366.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 |
| 307424 | 456157 | 0 | Cash loans | F | N | Y | 0 | 193500.000 | 284400.0 | 16326.0 | 225000.0 | Unaccompanied | Pensioner | Higher education | Civil marriage | House / apartment | 0.019101 | -23922 | 365243 | -6338.0 | -4139 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | SATURDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.715572 | 0.431192 | 0.0 | 0.0 | 0.0 | 0.0 | -561.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | 4.0 |
| 307426 | 456159 | 0 | Cash loans | F | N | Y | 0 | 112500.000 | 518562.0 | 25078.5 | 463500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.019689 | -21259 | 365243 | -5305.0 | -4213 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | MONDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.220484 | 0.387625 | 2.0 | 1.0 | 2.0 | 1.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 4.0 |
| 307428 | 456161 | 0 | Cash loans | F | N | N | 0 | 270000.000 | 1262583.0 | 40860.0 | 1102500.0 | Unaccompanied | Working | Higher education | Single / not married | House / apartment | 0.025164 | -15164 | -4678 | -325.0 | -4267 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | FRIDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.662429 | 0.645418 | 0.510090 | 12.0 | 0.0 | 12.0 | 0.0 | -1469.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 |
| 307430 | 456163 | 0 | Cash loans | F | N | Y | 0 | 135000.000 | 170640.0 | 11034.0 | 135000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.035792 | -21755 | 365243 | -2567.0 | -5031 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | MONDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.890056 | 0.355126 | 0.363945 | 0.0 | 0.0 | 0.0 | 0.0 | -2562.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 307431 | 456164 | 0 | Cash loans | F | N | N | 1 | 112500.000 | 334152.0 | 18256.5 | 270000.0 | Unaccompanied | Working | Secondary / secondary special | Single / not married | With parents | 0.022800 | -8146 | -1197 | -2827.0 | -813 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 10 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | 0.234345 | 0.203856 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1101.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307433 | 456171 | 1 | Cash loans | M | N | Y | 0 | 50400.000 | 113760.0 | 7731.0 | 90000.0 | Unaccompanied | Pensioner | Lower secondary | Single / not married | Municipal apartment | 0.031329 | -10873 | 365243 | -4074.0 | -2309 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | WEDNESDAY | 7 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.149808 | 0.182723 | 0.434733 | 0.0 | 0.0 | 0.0 | 0.0 | -170.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 |
| 307434 | 456172 | 0 | Cash loans | F | Y | Y | 0 | 76500.000 | 163098.0 | 16015.5 | 153000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.018801 | -21027 | 365243 | -2653.0 | -4509 | 10.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.092283 | 0.739412 | 0.0 | 0.0 | 0.0 | 0.0 | -1121.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307441 | 456179 | 0 | Cash loans | F | N | Y | 0 | 126000.000 | 254700.0 | 24939.0 | 225000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.018209 | -24857 | 365243 | -12253.0 | -4801 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 3 | MONDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.500401 | 0.549597 | 0.0 | 0.0 | 0.0 | 0.0 | -1582.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 |
| 307443 | 456181 | 0 | Cash loans | F | N | N | 0 | 76500.000 | 1240614.0 | 44559.0 | 1111500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.016612 | -17060 | 365243 | -4388.0 | -609 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.683457 | 0.574447 | 0.0 | 0.0 | 0.0 | 0.0 | -105.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307444 | 456182 | 0 | Revolving loans | F | N | Y | 2 | 90000.000 | 270000.0 | 13500.0 | 270000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.018634 | -13959 | -2190 | -3932.0 | -4562 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 4.0 | 2 | 2 | TUESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.523651 | 0.452707 | NaN | 6.0 | 0.0 | 6.0 | 0.0 | -414.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 307445 | 456183 | 0 | Cash loans | F | Y | Y | 0 | 180000.000 | 990000.0 | 42075.0 | 990000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.010147 | -21685 | 365243 | -14150.0 | -4784 | 30.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.851707 | 0.268981 | 0.396220 | 0.0 | 0.0 | 0.0 | 0.0 | -344.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
| 307447 | 456185 | 0 | Cash loans | F | N | Y | 0 | 135000.000 | 528633.0 | 22527.0 | 472500.0 | Family | Working | Secondary / secondary special | Married | House / apartment | 0.019101 | -11193 | -4606 | -2769.0 | -2769 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 13 | 0 | 0 | 0 | 0 | 1 | 1 | Trade: type 7 | NaN | 0.600160 | 0.621226 | 0.0 | 0.0 | 0.0 | 0.0 | -1023.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 3.0 |
| 307450 | 456188 | 0 | Cash loans | F | N | Y | 0 | 54000.000 | 315000.0 | 21924.0 | 315000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | Municipal apartment | 0.006207 | -20362 | 365243 | -9841.0 | -3631 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | WEDNESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.764561 | 0.312168 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -2950.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 307452 | 456191 | 0 | Cash loans | F | Y | N | 2 | 153000.000 | 1350000.0 | 46926.0 | 1350000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.030755 | -13128 | -397 | -3964.0 | -2745 | 14.0 | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 4.0 | 2 | 2 | THURSDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Restaurant | 0.591136 | 0.541303 | 0.754406 | 0.0 | 0.0 | 0.0 | 0.0 | -741.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 1.0 |
| 307463 | 456203 | 0 | Cash loans | F | N | Y | 0 | 180000.000 | 247275.0 | 17338.5 | 225000.0 | Family | Pensioner | Secondary / secondary special | Married | House / apartment | 0.016612 | -24142 | 365243 | -7108.0 | -4111 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.666924 | 0.728141 | 0.0 | 0.0 | 0.0 | 0.0 | -1573.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 |
| 307468 | 456208 | 0 | Cash loans | F | N | Y | 1 | 135000.000 | 305955.0 | 21888.0 | 283500.0 | Unaccompanied | Working | Higher education | Civil marriage | House / apartment | 0.020246 | -9844 | -1266 | -7511.0 | -1053 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 3.0 | 3 | 3 | THURSDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Industry: type 12 | 0.510609 | 0.240384 | 0.511892 | 2.0 | 0.0 | 2.0 | 0.0 | -499.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 |
| 307469 | 456209 | 0 | Cash loans | F | N | Y | 0 | 202500.000 | 703728.0 | 29943.0 | 607500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Single / not married | House / apartment | 0.031329 | -22414 | 365243 | -11976.0 | -4171 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | MONDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.195625 | 0.360613 | 11.0 | 2.0 | 11.0 | 0.0 | -1667.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 |
| 307476 | 456216 | 0 | Cash loans | F | N | N | 2 | 135000.000 | 1762110.0 | 48456.0 | 1575000.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.019689 | -13790 | -1878 | -3023.0 | -1798 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 4.0 | 2 | 2 | MONDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.629572 | 0.277728 | 0.771362 | 0.0 | 0.0 | 0.0 | 0.0 | -2538.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 307483 | 456227 | 0 | Cash loans | F | N | Y | 0 | 99000.000 | 247275.0 | 16479.0 | 225000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Separated | House / apartment | 0.007330 | -24911 | 365243 | -11211.0 | -4213 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | MONDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.589906 | 0.520898 | 1.0 | 1.0 | 1.0 | 1.0 | -1775.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 |
| 307486 | 456230 | 0 | Cash loans | F | Y | Y | 1 | 292500.000 | 355536.0 | 18283.5 | 270000.0 | Unaccompanied | Commercial associate | Higher education | Civil marriage | House / apartment | 0.072508 | -16010 | -1185 | -5034.0 | -4392 | 9.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 3.0 | 1 | 1 | SATURDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | NaN | 0.661025 | 0.199771 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 307487 | 456231 | 0 | Cash loans | M | N | Y | 0 | 117000.000 | 1071909.0 | 31473.0 | 936000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.010147 | -23125 | 365243 | -5485.0 | -4115 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.307082 | 0.255332 | 0.0 | 0.0 | 0.0 | 0.0 | -846.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 8.0 |
| 307500 | 456244 | 0 | Cash loans | F | N | Y | 0 | 261000.000 | 1303812.0 | 35982.0 | 1138500.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.031329 | -20390 | -5326 | -157.0 | -3906 | 0.0 | 1 | 1 | 0 | 1 | 0 | 1 | NaN | 2.0 | 2 | 2 | FRIDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.896042 | 0.789389 | 0.337673 | 0.0 | 0.0 | 0.0 | 0.0 | -1459.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 5.0 |
| 307505 | 456249 | 0 | Cash loans | F | N | Y | 0 | 112500.000 | 225000.0 | 22050.0 | 225000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Single / not married | House / apartment | 0.022800 | -24384 | 365243 | -7369.0 | -2357 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | MONDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.346391 | 0.742182 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 |
| 307507 | 456252 | 0 | Cash loans | F | N | Y | 0 | 72000.000 | 269550.0 | 12001.5 | 225000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.025164 | -20775 | 365243 | -4388.0 | -4090 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | MONDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | NaN | 0.115992 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
96391 rows × 75 columns
So we have lot of null values with occupation type, let check the percentage
app["OCCUPATION_TYPE"].isnull().sum()/len(app)*100
31.345545362604916
So we have nearly 30% of the data missing, let check if they fall to which NAME INCOME TYPE
ap2 = app[app["OCCUPATION_TYPE"].isnull()][["NAME_INCOME_TYPE"]]
ap2
| NAME_INCOME_TYPE | |
|---|---|
| 8 | Pensioner |
| 11 | Pensioner |
| 23 | Pensioner |
| 28 | State servant |
| 30 | Commercial associate |
| 38 | Pensioner |
| 43 | Pensioner |
| 44 | Working |
| 46 | Pensioner |
| 52 | Working |
| 54 | Pensioner |
| 56 | Pensioner |
| 62 | Pensioner |
| 63 | Working |
| 76 | Commercial associate |
| 79 | Pensioner |
| 81 | Pensioner |
| 82 | Working |
| 84 | Pensioner |
| 88 | Working |
| 94 | Commercial associate |
| 97 | Working |
| 99 | Pensioner |
| 105 | Pensioner |
| 106 | Pensioner |
| 107 | Working |
| 108 | Pensioner |
| 109 | Working |
| 117 | Pensioner |
| 118 | Pensioner |
| 119 | Working |
| 125 | Pensioner |
| 135 | Working |
| 140 | Pensioner |
| 141 | Working |
| 143 | Pensioner |
| 145 | Commercial associate |
| 148 | Working |
| 150 | Working |
| 151 | Working |
| 156 | Pensioner |
| 157 | Pensioner |
| 158 | Pensioner |
| 164 | Commercial associate |
| 166 | Commercial associate |
| 171 | Working |
| 173 | Pensioner |
| 174 | Pensioner |
| 175 | Pensioner |
| 184 | Commercial associate |
| 185 | Pensioner |
| 191 | Commercial associate |
| 192 | Commercial associate |
| 200 | Working |
| 213 | Pensioner |
| 220 | Pensioner |
| 222 | Pensioner |
| 226 | Pensioner |
| 227 | Pensioner |
| 229 | Commercial associate |
| 233 | Pensioner |
| 237 | Pensioner |
| 239 | Pensioner |
| 240 | Pensioner |
| 247 | Pensioner |
| 252 | Pensioner |
| 263 | Pensioner |
| 264 | Working |
| 269 | Working |
| 270 | Pensioner |
| 276 | Commercial associate |
| 278 | Commercial associate |
| 283 | Pensioner |
| 284 | Working |
| 286 | Working |
| 287 | Pensioner |
| 290 | Pensioner |
| 302 | Pensioner |
| 303 | Working |
| 304 | Pensioner |
| 305 | Pensioner |
| 306 | Pensioner |
| 309 | Working |
| 313 | Commercial associate |
| 318 | Pensioner |
| 320 | Working |
| 322 | Pensioner |
| 324 | Pensioner |
| 327 | Commercial associate |
| 333 | Commercial associate |
| 342 | Pensioner |
| 344 | Pensioner |
| 347 | Pensioner |
| 348 | Pensioner |
| 349 | Pensioner |
| 352 | Pensioner |
| 359 | Pensioner |
| 364 | Pensioner |
| 378 | Commercial associate |
| 380 | Pensioner |
| 382 | Pensioner |
| 383 | Pensioner |
| 385 | Pensioner |
| 389 | Working |
| 390 | Working |
| 395 | Pensioner |
| 397 | Commercial associate |
| 400 | Pensioner |
| 404 | Pensioner |
| 406 | Commercial associate |
| 420 | Pensioner |
| 421 | Pensioner |
| 427 | Working |
| 428 | Working |
| 431 | Working |
| 432 | Working |
| 436 | Pensioner |
| 439 | Working |
| 442 | Pensioner |
| 444 | Commercial associate |
| 445 | Pensioner |
| 447 | Pensioner |
| 448 | Pensioner |
| 449 | Pensioner |
| 451 | Pensioner |
| 452 | Working |
| 454 | Working |
| 458 | Working |
| 473 | Pensioner |
| 475 | Working |
| 476 | Pensioner |
| 482 | Pensioner |
| 486 | Pensioner |
| 490 | Pensioner |
| 495 | Pensioner |
| 496 | Working |
| 498 | Pensioner |
| 500 | Pensioner |
| 504 | Commercial associate |
| 505 | Pensioner |
| 509 | Pensioner |
| 512 | Working |
| 513 | Working |
| 518 | Working |
| 524 | Commercial associate |
| 526 | Pensioner |
| 527 | Pensioner |
| 535 | Commercial associate |
| 539 | Pensioner |
| 545 | Working |
| 556 | Pensioner |
| 557 | Pensioner |
| 558 | Working |
| 561 | Working |
| 563 | Working |
| 566 | Pensioner |
| 568 | Working |
| 570 | Pensioner |
| 571 | Working |
| 580 | Working |
| 581 | Pensioner |
| 582 | Working |
| 583 | Pensioner |
| 584 | Working |
| 586 | Pensioner |
| 589 | Pensioner |
| 592 | Working |
| 602 | Pensioner |
| 608 | Pensioner |
| 610 | Pensioner |
| 613 | Pensioner |
| 614 | Pensioner |
| 617 | Pensioner |
| 618 | Pensioner |
| 624 | Pensioner |
| 626 | Commercial associate |
| 631 | Pensioner |
| 632 | Working |
| 635 | Working |
| 640 | Working |
| 646 | Pensioner |
| 650 | Pensioner |
| 652 | Pensioner |
| 656 | Commercial associate |
| 668 | Pensioner |
| 678 | Pensioner |
| 679 | Pensioner |
| 680 | Working |
| 683 | Working |
| 686 | Pensioner |
| 690 | Commercial associate |
| 691 | Pensioner |
| 699 | Working |
| 703 | Commercial associate |
| 704 | Working |
| 706 | Pensioner |
| 707 | Pensioner |
| 710 | Pensioner |
| 712 | Working |
| 713 | Commercial associate |
| ... | ... |
| 306903 | Working |
| 306904 | Pensioner |
| 306909 | Pensioner |
| 306915 | Pensioner |
| 306916 | Working |
| 306920 | Working |
| 306921 | Pensioner |
| 306926 | Pensioner |
| 306927 | Pensioner |
| 306929 | Commercial associate |
| 306933 | Pensioner |
| 306936 | Commercial associate |
| 306937 | Pensioner |
| 306940 | Working |
| 306942 | Working |
| 306943 | Commercial associate |
| 306952 | Pensioner |
| 306953 | Commercial associate |
| 306958 | Pensioner |
| 306959 | Pensioner |
| 306960 | State servant |
| 306962 | Working |
| 306965 | Pensioner |
| 306970 | Pensioner |
| 306974 | Commercial associate |
| 306979 | Pensioner |
| 306980 | Pensioner |
| 306982 | State servant |
| 306987 | Pensioner |
| 306988 | Working |
| 306992 | Pensioner |
| 306996 | Working |
| 307002 | Commercial associate |
| 307008 | Pensioner |
| 307010 | Working |
| 307012 | Working |
| 307018 | Working |
| 307020 | Pensioner |
| 307024 | Commercial associate |
| 307028 | Pensioner |
| 307029 | Pensioner |
| 307042 | Working |
| 307043 | Pensioner |
| 307046 | Commercial associate |
| 307053 | Pensioner |
| 307054 | Pensioner |
| 307058 | Pensioner |
| 307060 | Working |
| 307062 | Pensioner |
| 307069 | Commercial associate |
| 307070 | Working |
| 307076 | Pensioner |
| 307078 | Commercial associate |
| 307080 | Pensioner |
| 307081 | Working |
| 307085 | Working |
| 307087 | Working |
| 307088 | Pensioner |
| 307089 | Pensioner |
| 307093 | Pensioner |
| 307095 | Pensioner |
| 307099 | Working |
| 307106 | Pensioner |
| 307107 | Pensioner |
| 307109 | State servant |
| 307113 | Working |
| 307114 | Working |
| 307116 | Pensioner |
| 307119 | Pensioner |
| 307120 | Pensioner |
| 307128 | Pensioner |
| 307129 | Pensioner |
| 307134 | Pensioner |
| 307135 | Pensioner |
| 307141 | Pensioner |
| 307142 | Pensioner |
| 307146 | Pensioner |
| 307147 | Working |
| 307150 | Working |
| 307151 | Working |
| 307153 | Pensioner |
| 307156 | Pensioner |
| 307162 | Working |
| 307166 | Pensioner |
| 307167 | Pensioner |
| 307179 | Pensioner |
| 307182 | Pensioner |
| 307188 | Pensioner |
| 307190 | Working |
| 307193 | Pensioner |
| 307194 | Working |
| 307195 | Pensioner |
| 307197 | Pensioner |
| 307199 | Commercial associate |
| 307201 | Pensioner |
| 307203 | Working |
| 307207 | Working |
| 307208 | State servant |
| 307211 | Pensioner |
| 307212 | Pensioner |
| 307213 | Commercial associate |
| 307216 | Pensioner |
| 307221 | Pensioner |
| 307228 | Working |
| 307232 | Pensioner |
| 307235 | Pensioner |
| 307241 | Pensioner |
| 307242 | Working |
| 307243 | Working |
| 307245 | Commercial associate |
| 307251 | Working |
| 307255 | Pensioner |
| 307256 | Working |
| 307258 | Pensioner |
| 307259 | Working |
| 307260 | Commercial associate |
| 307263 | Pensioner |
| 307269 | Pensioner |
| 307273 | Commercial associate |
| 307278 | Commercial associate |
| 307283 | Pensioner |
| 307285 | Working |
| 307292 | Commercial associate |
| 307296 | Pensioner |
| 307297 | Pensioner |
| 307302 | Working |
| 307304 | Pensioner |
| 307307 | Working |
| 307310 | Pensioner |
| 307311 | Working |
| 307313 | Pensioner |
| 307314 | Commercial associate |
| 307318 | Pensioner |
| 307319 | Commercial associate |
| 307325 | Pensioner |
| 307327 | Working |
| 307331 | Working |
| 307333 | Commercial associate |
| 307337 | Pensioner |
| 307338 | Pensioner |
| 307341 | Working |
| 307342 | Pensioner |
| 307343 | Pensioner |
| 307348 | Pensioner |
| 307350 | Pensioner |
| 307352 | Pensioner |
| 307353 | Working |
| 307361 | Pensioner |
| 307362 | Commercial associate |
| 307363 | Pensioner |
| 307369 | Pensioner |
| 307370 | Pensioner |
| 307371 | Commercial associate |
| 307377 | Working |
| 307386 | Pensioner |
| 307387 | Commercial associate |
| 307388 | Working |
| 307390 | Pensioner |
| 307392 | Pensioner |
| 307393 | Pensioner |
| 307394 | Working |
| 307397 | Working |
| 307398 | Pensioner |
| 307401 | Pensioner |
| 307402 | Pensioner |
| 307404 | Pensioner |
| 307405 | Pensioner |
| 307406 | Pensioner |
| 307410 | Working |
| 307411 | Commercial associate |
| 307412 | Commercial associate |
| 307417 | Pensioner |
| 307420 | Pensioner |
| 307421 | Working |
| 307422 | Pensioner |
| 307423 | Working |
| 307424 | Pensioner |
| 307426 | Pensioner |
| 307428 | Working |
| 307430 | Pensioner |
| 307431 | Working |
| 307433 | Pensioner |
| 307434 | Pensioner |
| 307441 | Pensioner |
| 307443 | Pensioner |
| 307444 | Working |
| 307445 | Pensioner |
| 307447 | Working |
| 307450 | Pensioner |
| 307452 | Working |
| 307463 | Pensioner |
| 307468 | Working |
| 307469 | Pensioner |
| 307476 | Working |
| 307483 | Pensioner |
| 307486 | Commercial associate |
| 307487 | Pensioner |
| 307500 | Working |
| 307505 | Pensioner |
| 307507 | Pensioner |
96391 rows × 1 columns
ap2.NAME_INCOME_TYPE.value_counts()
Pensioner 55357 Working 24920 Commercial associate 12297 State servant 3787 Unemployed 22 Student 5 Businessman 2 Maternity leave 1 Name: NAME_INCOME_TYPE, dtype: int64
As we have lot of "pensioners" in NAME_INCOME_TYPE for missing entries of Occupation type, we can impute the missing values with occupation type as "Retired/others", lets not impute the values as the numbers are high.
app.columns[app.isna().any()]
Index(['AMT_ANNUITY', 'OCCUPATION_TYPE', 'CNT_FAM_MEMBERS', 'EXT_SOURCE_1',
'EXT_SOURCE_2', 'EXT_SOURCE_3', 'OBS_30_CNT_SOCIAL_CIRCLE',
'DEF_30_CNT_SOCIAL_CIRCLE', 'OBS_60_CNT_SOCIAL_CIRCLE',
'DEF_60_CNT_SOCIAL_CIRCLE', 'DAYS_LAST_PHONE_CHANGE',
'AMT_REQ_CREDIT_BUREAU_HOUR', 'AMT_REQ_CREDIT_BUREAU_DAY',
'AMT_REQ_CREDIT_BUREAU_WEEK', 'AMT_REQ_CREDIT_BUREAU_MON',
'AMT_REQ_CREDIT_BUREAU_QRT', 'AMT_REQ_CREDIT_BUREAU_YEAR'],
dtype='object')
app[app.CNT_FAM_MEMBERS.isnull()]
| SK_ID_CURR | TARGET | NAME_CONTRACT_TYPE | CODE_GENDER | FLAG_OWN_CAR | FLAG_OWN_REALTY | CNT_CHILDREN | AMT_INCOME_TOTAL | AMT_CREDIT | AMT_ANNUITY | AMT_GOODS_PRICE | NAME_TYPE_SUITE | NAME_INCOME_TYPE | NAME_EDUCATION_TYPE | NAME_FAMILY_STATUS | NAME_HOUSING_TYPE | REGION_POPULATION_RELATIVE | DAYS_BIRTH | DAYS_EMPLOYED | DAYS_REGISTRATION | DAYS_ID_PUBLISH | OWN_CAR_AGE | FLAG_MOBIL | FLAG_EMP_PHONE | FLAG_WORK_PHONE | FLAG_CONT_MOBILE | FLAG_PHONE | FLAG_EMAIL | OCCUPATION_TYPE | CNT_FAM_MEMBERS | REGION_RATING_CLIENT | REGION_RATING_CLIENT_W_CITY | WEEKDAY_APPR_PROCESS_START | HOUR_APPR_PROCESS_START | REG_REGION_NOT_LIVE_REGION | REG_REGION_NOT_WORK_REGION | LIVE_REGION_NOT_WORK_REGION | REG_CITY_NOT_LIVE_CITY | REG_CITY_NOT_WORK_CITY | LIVE_CITY_NOT_WORK_CITY | ORGANIZATION_TYPE | EXT_SOURCE_1 | EXT_SOURCE_2 | EXT_SOURCE_3 | OBS_30_CNT_SOCIAL_CIRCLE | DEF_30_CNT_SOCIAL_CIRCLE | OBS_60_CNT_SOCIAL_CIRCLE | DEF_60_CNT_SOCIAL_CIRCLE | DAYS_LAST_PHONE_CHANGE | FLAG_DOCUMENT_2 | FLAG_DOCUMENT_3 | FLAG_DOCUMENT_4 | FLAG_DOCUMENT_5 | FLAG_DOCUMENT_6 | FLAG_DOCUMENT_7 | FLAG_DOCUMENT_8 | FLAG_DOCUMENT_9 | FLAG_DOCUMENT_10 | FLAG_DOCUMENT_11 | FLAG_DOCUMENT_12 | FLAG_DOCUMENT_13 | FLAG_DOCUMENT_14 | FLAG_DOCUMENT_15 | FLAG_DOCUMENT_16 | FLAG_DOCUMENT_17 | FLAG_DOCUMENT_18 | FLAG_DOCUMENT_19 | FLAG_DOCUMENT_20 | FLAG_DOCUMENT_21 | AMT_REQ_CREDIT_BUREAU_HOUR | AMT_REQ_CREDIT_BUREAU_DAY | AMT_REQ_CREDIT_BUREAU_WEEK | AMT_REQ_CREDIT_BUREAU_MON | AMT_REQ_CREDIT_BUREAU_QRT | AMT_REQ_CREDIT_BUREAU_YEAR | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 41982 | 148605 | 0 | Revolving loans | M | N | Y | 0 | 450000.0 | 675000.0 | 33750.0 | 0.0 | Unaccompanied | Commercial associate | Lower secondary | Unknown | Municipal apartment | 0.015221 | -12396 | -1161 | -3265.0 | -4489 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | Managers | NaN | 2 | 2 | THURSDAY | 15 | 0 | 1 | 1 | 0 | 1 | 1 | Insurance | 0.628564 | 0.700618 | NaN | 3.0 | 0.0 | 3.0 | 0.0 | -876.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 187348 | 317181 | 0 | Revolving loans | F | N | Y | 0 | 202500.0 | 585000.0 | 29250.0 | 0.0 | Unaccompanied | Commercial associate | Higher education | Unknown | House / apartment | 0.031329 | -12844 | -232 | -1597.0 | -1571 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Accountants | NaN | 2 | 2 | FRIDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | NaN | 0.645168 | 0.670652 | 1.0 | 0.0 | 1.0 | 0.0 | -654.0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
as this is just a set of 2 rows of missing entries, we can drop these rows...
app.drop(labels =[41982,187348], axis =0, inplace =True)
app.CNT_FAM_MEMBERS.isnull().sum()
0
app.columns[app.isna().any()]
Index(['AMT_ANNUITY', 'OCCUPATION_TYPE', 'EXT_SOURCE_1', 'EXT_SOURCE_2',
'EXT_SOURCE_3', 'OBS_30_CNT_SOCIAL_CIRCLE', 'DEF_30_CNT_SOCIAL_CIRCLE',
'OBS_60_CNT_SOCIAL_CIRCLE', 'DEF_60_CNT_SOCIAL_CIRCLE',
'DAYS_LAST_PHONE_CHANGE', 'AMT_REQ_CREDIT_BUREAU_HOUR',
'AMT_REQ_CREDIT_BUREAU_DAY', 'AMT_REQ_CREDIT_BUREAU_WEEK',
'AMT_REQ_CREDIT_BUREAU_MON', 'AMT_REQ_CREDIT_BUREAU_QRT',
'AMT_REQ_CREDIT_BUREAU_YEAR'],
dtype='object')
Now we still have lot of columns with null values , lets visualize and see by how much % we have those values
### Checking on NaN values in respoective columns
app.isnull().sum().sort_values(ascending= False)
EXT_SOURCE_1 173377 OCCUPATION_TYPE 96391 EXT_SOURCE_3 60964 AMT_REQ_CREDIT_BUREAU_YEAR 41518 AMT_REQ_CREDIT_BUREAU_MON 41518 AMT_REQ_CREDIT_BUREAU_WEEK 41518 AMT_REQ_CREDIT_BUREAU_DAY 41518 AMT_REQ_CREDIT_BUREAU_HOUR 41518 AMT_REQ_CREDIT_BUREAU_QRT 41518 DEF_60_CNT_SOCIAL_CIRCLE 1021 OBS_60_CNT_SOCIAL_CIRCLE 1021 DEF_30_CNT_SOCIAL_CIRCLE 1021 OBS_30_CNT_SOCIAL_CIRCLE 1021 EXT_SOURCE_2 660 AMT_ANNUITY 12 DAYS_LAST_PHONE_CHANGE 1 OWN_CAR_AGE 0 FLAG_MOBIL 0 DAYS_ID_PUBLISH 0 FLAG_WORK_PHONE 0 FLAG_CONT_MOBILE 0 FLAG_PHONE 0 FLAG_EMAIL 0 FLAG_EMP_PHONE 0 DAYS_BIRTH 0 DAYS_REGISTRATION 0 AMT_CREDIT 0 TARGET 0 NAME_CONTRACT_TYPE 0 CODE_GENDER 0 FLAG_OWN_CAR 0 FLAG_OWN_REALTY 0 CNT_CHILDREN 0 AMT_INCOME_TOTAL 0 AMT_GOODS_PRICE 0 DAYS_EMPLOYED 0 NAME_TYPE_SUITE 0 NAME_INCOME_TYPE 0 NAME_EDUCATION_TYPE 0 NAME_FAMILY_STATUS 0 NAME_HOUSING_TYPE 0 REGION_POPULATION_RELATIVE 0 REGION_RATING_CLIENT 0 CNT_FAM_MEMBERS 0 REG_CITY_NOT_LIVE_CITY 0 REGION_RATING_CLIENT_W_CITY 0 WEEKDAY_APPR_PROCESS_START 0 FLAG_DOCUMENT_21 0 FLAG_DOCUMENT_20 0 FLAG_DOCUMENT_19 0 FLAG_DOCUMENT_18 0 FLAG_DOCUMENT_17 0 FLAG_DOCUMENT_16 0 FLAG_DOCUMENT_15 0 FLAG_DOCUMENT_14 0 FLAG_DOCUMENT_13 0 FLAG_DOCUMENT_12 0 FLAG_DOCUMENT_11 0 FLAG_DOCUMENT_10 0 FLAG_DOCUMENT_9 0 FLAG_DOCUMENT_8 0 FLAG_DOCUMENT_7 0 FLAG_DOCUMENT_6 0 FLAG_DOCUMENT_5 0 FLAG_DOCUMENT_4 0 FLAG_DOCUMENT_3 0 FLAG_DOCUMENT_2 0 ORGANIZATION_TYPE 0 LIVE_CITY_NOT_WORK_CITY 0 REG_CITY_NOT_WORK_CITY 0 LIVE_REGION_NOT_WORK_REGION 0 REG_REGION_NOT_WORK_REGION 0 REG_REGION_NOT_LIVE_REGION 0 HOUR_APPR_PROCESS_START 0 SK_ID_CURR 0 dtype: int64
## Lets visualize the same
NaN_cols = app.isnull().sum().sort_values(ascending = False)
x = NaN_cols.head(10)
x
EXT_SOURCE_1 173377 OCCUPATION_TYPE 96391 EXT_SOURCE_3 60964 AMT_REQ_CREDIT_BUREAU_YEAR 41518 AMT_REQ_CREDIT_BUREAU_MON 41518 AMT_REQ_CREDIT_BUREAU_WEEK 41518 AMT_REQ_CREDIT_BUREAU_DAY 41518 AMT_REQ_CREDIT_BUREAU_HOUR 41518 AMT_REQ_CREDIT_BUREAU_QRT 41518 DEF_60_CNT_SOCIAL_CIRCLE 1021 dtype: int64
sns.barplot(x.index, y = x/len(app)*100)
plt.title("NaN values in %")
plt.show();
NaN_cols.index[:5]
Index(['EXT_SOURCE_1', 'OCCUPATION_TYPE', 'EXT_SOURCE_3',
'AMT_REQ_CREDIT_BUREAU_YEAR', 'AMT_REQ_CREDIT_BUREAU_MON'],
dtype='object')
May be we can remove the columns have NaN entries more than 40%, i.e. column with EXT_SOURCE_1
app.drop(labels = ["EXT_SOURCE_1"], axis =1 , inplace = True)
app.columns[app.isna().any()]
Index(['AMT_ANNUITY', 'OCCUPATION_TYPE', 'EXT_SOURCE_2', 'EXT_SOURCE_3',
'OBS_30_CNT_SOCIAL_CIRCLE', 'DEF_30_CNT_SOCIAL_CIRCLE',
'OBS_60_CNT_SOCIAL_CIRCLE', 'DEF_60_CNT_SOCIAL_CIRCLE',
'DAYS_LAST_PHONE_CHANGE', 'AMT_REQ_CREDIT_BUREAU_HOUR',
'AMT_REQ_CREDIT_BUREAU_DAY', 'AMT_REQ_CREDIT_BUREAU_WEEK',
'AMT_REQ_CREDIT_BUREAU_MON', 'AMT_REQ_CREDIT_BUREAU_QRT',
'AMT_REQ_CREDIT_BUREAU_YEAR'],
dtype='object')
x1 = app.isnull().sum().sort_values(ascending= False)
x1
OCCUPATION_TYPE 96391 EXT_SOURCE_3 60964 AMT_REQ_CREDIT_BUREAU_YEAR 41518 AMT_REQ_CREDIT_BUREAU_MON 41518 AMT_REQ_CREDIT_BUREAU_WEEK 41518 AMT_REQ_CREDIT_BUREAU_DAY 41518 AMT_REQ_CREDIT_BUREAU_HOUR 41518 AMT_REQ_CREDIT_BUREAU_QRT 41518 DEF_60_CNT_SOCIAL_CIRCLE 1021 OBS_60_CNT_SOCIAL_CIRCLE 1021 DEF_30_CNT_SOCIAL_CIRCLE 1021 OBS_30_CNT_SOCIAL_CIRCLE 1021 EXT_SOURCE_2 660 AMT_ANNUITY 12 DAYS_LAST_PHONE_CHANGE 1 FLAG_EMP_PHONE 0 OWN_CAR_AGE 0 FLAG_MOBIL 0 DAYS_REGISTRATION 0 FLAG_WORK_PHONE 0 FLAG_CONT_MOBILE 0 FLAG_PHONE 0 FLAG_EMAIL 0 DAYS_ID_PUBLISH 0 REGION_POPULATION_RELATIVE 0 DAYS_EMPLOYED 0 DAYS_BIRTH 0 TARGET 0 NAME_CONTRACT_TYPE 0 CODE_GENDER 0 FLAG_OWN_CAR 0 FLAG_OWN_REALTY 0 CNT_CHILDREN 0 AMT_INCOME_TOTAL 0 AMT_CREDIT 0 AMT_GOODS_PRICE 0 NAME_TYPE_SUITE 0 NAME_INCOME_TYPE 0 NAME_EDUCATION_TYPE 0 NAME_FAMILY_STATUS 0 NAME_HOUSING_TYPE 0 REGION_RATING_CLIENT 0 CNT_FAM_MEMBERS 0 LIVE_REGION_NOT_WORK_REGION 0 REGION_RATING_CLIENT_W_CITY 0 WEEKDAY_APPR_PROCESS_START 0 FLAG_DOCUMENT_21 0 FLAG_DOCUMENT_20 0 FLAG_DOCUMENT_19 0 FLAG_DOCUMENT_18 0 FLAG_DOCUMENT_17 0 FLAG_DOCUMENT_16 0 FLAG_DOCUMENT_15 0 FLAG_DOCUMENT_14 0 FLAG_DOCUMENT_13 0 FLAG_DOCUMENT_12 0 FLAG_DOCUMENT_11 0 FLAG_DOCUMENT_10 0 FLAG_DOCUMENT_9 0 FLAG_DOCUMENT_8 0 FLAG_DOCUMENT_7 0 FLAG_DOCUMENT_6 0 FLAG_DOCUMENT_5 0 FLAG_DOCUMENT_4 0 FLAG_DOCUMENT_3 0 FLAG_DOCUMENT_2 0 ORGANIZATION_TYPE 0 LIVE_CITY_NOT_WORK_CITY 0 REG_CITY_NOT_WORK_CITY 0 REG_CITY_NOT_LIVE_CITY 0 REG_REGION_NOT_WORK_REGION 0 REG_REGION_NOT_LIVE_REGION 0 HOUR_APPR_PROCESS_START 0 SK_ID_CURR 0 dtype: int64
app.columns[app.isna().any()]
Index(['AMT_ANNUITY', 'OCCUPATION_TYPE', 'EXT_SOURCE_2', 'EXT_SOURCE_3',
'OBS_30_CNT_SOCIAL_CIRCLE', 'DEF_30_CNT_SOCIAL_CIRCLE',
'OBS_60_CNT_SOCIAL_CIRCLE', 'DEF_60_CNT_SOCIAL_CIRCLE',
'DAYS_LAST_PHONE_CHANGE', 'AMT_REQ_CREDIT_BUREAU_HOUR',
'AMT_REQ_CREDIT_BUREAU_DAY', 'AMT_REQ_CREDIT_BUREAU_WEEK',
'AMT_REQ_CREDIT_BUREAU_MON', 'AMT_REQ_CREDIT_BUREAU_QRT',
'AMT_REQ_CREDIT_BUREAU_YEAR'],
dtype='object')
app.filter(['AMT_REQ_CREDIT_BUREAU_HOUR',
'AMT_REQ_CREDIT_BUREAU_DAY', 'AMT_REQ_CREDIT_BUREAU_WEEK',
'AMT_REQ_CREDIT_BUREAU_MON', 'AMT_REQ_CREDIT_BUREAU_QRT',
'AMT_REQ_CREDIT_BUREAU_YEAR']).mode()
| AMT_REQ_CREDIT_BUREAU_HOUR | AMT_REQ_CREDIT_BUREAU_DAY | AMT_REQ_CREDIT_BUREAU_WEEK | AMT_REQ_CREDIT_BUREAU_MON | AMT_REQ_CREDIT_BUREAU_QRT | AMT_REQ_CREDIT_BUREAU_YEAR | |
|---|---|---|---|---|---|---|
| 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
As we can see the above columns could be imputed with mode as they refer to Number of enquiries to Credit Bureau about the client.
### we can also use user defined function for imputation
def mode_imp(df, col):
return df[col].fillna(value = df[col].mode(), inplace = True)
app.isnull().sum().sort_values(ascending = False)
OCCUPATION_TYPE 96391 EXT_SOURCE_3 60964 AMT_REQ_CREDIT_BUREAU_YEAR 41518 AMT_REQ_CREDIT_BUREAU_MON 41518 AMT_REQ_CREDIT_BUREAU_WEEK 41518 AMT_REQ_CREDIT_BUREAU_DAY 41518 AMT_REQ_CREDIT_BUREAU_HOUR 41518 AMT_REQ_CREDIT_BUREAU_QRT 41518 DEF_60_CNT_SOCIAL_CIRCLE 1021 OBS_60_CNT_SOCIAL_CIRCLE 1021 DEF_30_CNT_SOCIAL_CIRCLE 1021 OBS_30_CNT_SOCIAL_CIRCLE 1021 EXT_SOURCE_2 660 AMT_ANNUITY 12 DAYS_LAST_PHONE_CHANGE 1 FLAG_EMP_PHONE 0 OWN_CAR_AGE 0 FLAG_MOBIL 0 DAYS_REGISTRATION 0 FLAG_WORK_PHONE 0 FLAG_CONT_MOBILE 0 FLAG_PHONE 0 FLAG_EMAIL 0 DAYS_ID_PUBLISH 0 REGION_POPULATION_RELATIVE 0 DAYS_EMPLOYED 0 DAYS_BIRTH 0 TARGET 0 NAME_CONTRACT_TYPE 0 CODE_GENDER 0 FLAG_OWN_CAR 0 FLAG_OWN_REALTY 0 CNT_CHILDREN 0 AMT_INCOME_TOTAL 0 AMT_CREDIT 0 AMT_GOODS_PRICE 0 NAME_TYPE_SUITE 0 NAME_INCOME_TYPE 0 NAME_EDUCATION_TYPE 0 NAME_FAMILY_STATUS 0 NAME_HOUSING_TYPE 0 REGION_RATING_CLIENT 0 CNT_FAM_MEMBERS 0 LIVE_REGION_NOT_WORK_REGION 0 REGION_RATING_CLIENT_W_CITY 0 WEEKDAY_APPR_PROCESS_START 0 FLAG_DOCUMENT_21 0 FLAG_DOCUMENT_20 0 FLAG_DOCUMENT_19 0 FLAG_DOCUMENT_18 0 FLAG_DOCUMENT_17 0 FLAG_DOCUMENT_16 0 FLAG_DOCUMENT_15 0 FLAG_DOCUMENT_14 0 FLAG_DOCUMENT_13 0 FLAG_DOCUMENT_12 0 FLAG_DOCUMENT_11 0 FLAG_DOCUMENT_10 0 FLAG_DOCUMENT_9 0 FLAG_DOCUMENT_8 0 FLAG_DOCUMENT_7 0 FLAG_DOCUMENT_6 0 FLAG_DOCUMENT_5 0 FLAG_DOCUMENT_4 0 FLAG_DOCUMENT_3 0 FLAG_DOCUMENT_2 0 ORGANIZATION_TYPE 0 LIVE_CITY_NOT_WORK_CITY 0 REG_CITY_NOT_WORK_CITY 0 REG_CITY_NOT_LIVE_CITY 0 REG_REGION_NOT_WORK_REGION 0 REG_REGION_NOT_LIVE_REGION 0 HOUR_APPR_PROCESS_START 0 SK_ID_CURR 0 dtype: int64
cols = ['EXT_SOURCE_2',
'EXT_SOURCE_3', 'OBS_30_CNT_SOCIAL_CIRCLE',
'DEF_30_CNT_SOCIAL_CIRCLE', 'OBS_60_CNT_SOCIAL_CIRCLE',
'DEF_60_CNT_SOCIAL_CIRCLE']
app[cols].mode()
| EXT_SOURCE_2 | EXT_SOURCE_3 | OBS_30_CNT_SOCIAL_CIRCLE | DEF_30_CNT_SOCIAL_CIRCLE | OBS_60_CNT_SOCIAL_CIRCLE | DEF_60_CNT_SOCIAL_CIRCLE | |
|---|---|---|---|---|---|---|
| 0 | 0.285898 | 0.7463 | 0.0 | 0.0 | 0.0 | 0.0 |
As we know that the data of number of days past due(DPD) for the clients social surroundings is just 0.3% of missing data, here also we can go for mode imputation for this columns
mode_imp(app, "OBS_30_CNT_SOCIAL_CIRCLE")
### we can also use user defined function for imputation
def mode_imp(df, col):
df[col].fillna(value = df[col].mode()[0], inplace = True)
app.isnull().sum()
SK_ID_CURR 0 TARGET 0 NAME_CONTRACT_TYPE 0 CODE_GENDER 0 FLAG_OWN_CAR 0 FLAG_OWN_REALTY 0 CNT_CHILDREN 0 AMT_INCOME_TOTAL 0 AMT_CREDIT 0 AMT_ANNUITY 12 AMT_GOODS_PRICE 0 NAME_TYPE_SUITE 0 NAME_INCOME_TYPE 0 NAME_EDUCATION_TYPE 0 NAME_FAMILY_STATUS 0 NAME_HOUSING_TYPE 0 REGION_POPULATION_RELATIVE 0 DAYS_BIRTH 0 DAYS_EMPLOYED 0 DAYS_REGISTRATION 0 DAYS_ID_PUBLISH 0 OWN_CAR_AGE 0 FLAG_MOBIL 0 FLAG_EMP_PHONE 0 FLAG_WORK_PHONE 0 FLAG_CONT_MOBILE 0 FLAG_PHONE 0 FLAG_EMAIL 0 OCCUPATION_TYPE 96391 CNT_FAM_MEMBERS 0 REGION_RATING_CLIENT 0 REGION_RATING_CLIENT_W_CITY 0 WEEKDAY_APPR_PROCESS_START 0 HOUR_APPR_PROCESS_START 0 REG_REGION_NOT_LIVE_REGION 0 REG_REGION_NOT_WORK_REGION 0 LIVE_REGION_NOT_WORK_REGION 0 REG_CITY_NOT_LIVE_CITY 0 REG_CITY_NOT_WORK_CITY 0 LIVE_CITY_NOT_WORK_CITY 0 ORGANIZATION_TYPE 0 EXT_SOURCE_2 660 EXT_SOURCE_3 60964 OBS_30_CNT_SOCIAL_CIRCLE 1021 DEF_30_CNT_SOCIAL_CIRCLE 1021 OBS_60_CNT_SOCIAL_CIRCLE 1021 DEF_60_CNT_SOCIAL_CIRCLE 1021 DAYS_LAST_PHONE_CHANGE 1 FLAG_DOCUMENT_2 0 FLAG_DOCUMENT_3 0 FLAG_DOCUMENT_4 0 FLAG_DOCUMENT_5 0 FLAG_DOCUMENT_6 0 FLAG_DOCUMENT_7 0 FLAG_DOCUMENT_8 0 FLAG_DOCUMENT_9 0 FLAG_DOCUMENT_10 0 FLAG_DOCUMENT_11 0 FLAG_DOCUMENT_12 0 FLAG_DOCUMENT_13 0 FLAG_DOCUMENT_14 0 FLAG_DOCUMENT_15 0 FLAG_DOCUMENT_16 0 FLAG_DOCUMENT_17 0 FLAG_DOCUMENT_18 0 FLAG_DOCUMENT_19 0 FLAG_DOCUMENT_20 0 FLAG_DOCUMENT_21 0 AMT_REQ_CREDIT_BUREAU_HOUR 41518 AMT_REQ_CREDIT_BUREAU_DAY 41518 AMT_REQ_CREDIT_BUREAU_WEEK 41518 AMT_REQ_CREDIT_BUREAU_MON 41518 AMT_REQ_CREDIT_BUREAU_QRT 41518 AMT_REQ_CREDIT_BUREAU_YEAR 41518 dtype: int64
missin_cols = ['EXT_SOURCE_2', 'EXT_SOURCE_3']
app.filter(missin_cols).isnull().sum()/len(app)
EXT_SOURCE_2 0.002146 EXT_SOURCE_3 0.198251 dtype: float64
app["EXT_SOURCE_3"].mean(),app["EXT_SOURCE_3"].median()
(0.5108522580271521, 0.5352762504724826)
With respect to Normalized score from external source, imputation can be challeging as SOURCE_3 has 20% of the data, which we cannot drop those rows however we can impute them with median value as
Imputation is not done as it is not necessary
## Finally , we only have these columns with missing entries
app.columns[app.isna().any()]
Index(['AMT_ANNUITY', 'OCCUPATION_TYPE', 'EXT_SOURCE_2', 'EXT_SOURCE_3',
'OBS_30_CNT_SOCIAL_CIRCLE', 'DEF_30_CNT_SOCIAL_CIRCLE',
'OBS_60_CNT_SOCIAL_CIRCLE', 'DEF_60_CNT_SOCIAL_CIRCLE',
'DAYS_LAST_PHONE_CHANGE', 'AMT_REQ_CREDIT_BUREAU_HOUR',
'AMT_REQ_CREDIT_BUREAU_DAY', 'AMT_REQ_CREDIT_BUREAU_WEEK',
'AMT_REQ_CREDIT_BUREAU_MON', 'AMT_REQ_CREDIT_BUREAU_QRT',
'AMT_REQ_CREDIT_BUREAU_YEAR'],
dtype='object')
## As the % is less for both of these columns around 0.1-0.2% , we can drop these rows of entries
app[app["DAYS_LAST_PHONE_CHANGE"].isnull()]
| SK_ID_CURR | TARGET | NAME_CONTRACT_TYPE | CODE_GENDER | FLAG_OWN_CAR | FLAG_OWN_REALTY | CNT_CHILDREN | AMT_INCOME_TOTAL | AMT_CREDIT | AMT_ANNUITY | AMT_GOODS_PRICE | NAME_TYPE_SUITE | NAME_INCOME_TYPE | NAME_EDUCATION_TYPE | NAME_FAMILY_STATUS | NAME_HOUSING_TYPE | REGION_POPULATION_RELATIVE | DAYS_BIRTH | DAYS_EMPLOYED | DAYS_REGISTRATION | DAYS_ID_PUBLISH | OWN_CAR_AGE | FLAG_MOBIL | FLAG_EMP_PHONE | FLAG_WORK_PHONE | FLAG_CONT_MOBILE | FLAG_PHONE | FLAG_EMAIL | OCCUPATION_TYPE | CNT_FAM_MEMBERS | REGION_RATING_CLIENT | REGION_RATING_CLIENT_W_CITY | WEEKDAY_APPR_PROCESS_START | HOUR_APPR_PROCESS_START | REG_REGION_NOT_LIVE_REGION | REG_REGION_NOT_WORK_REGION | LIVE_REGION_NOT_WORK_REGION | REG_CITY_NOT_LIVE_CITY | REG_CITY_NOT_WORK_CITY | LIVE_CITY_NOT_WORK_CITY | ORGANIZATION_TYPE | EXT_SOURCE_2 | EXT_SOURCE_3 | OBS_30_CNT_SOCIAL_CIRCLE | DEF_30_CNT_SOCIAL_CIRCLE | OBS_60_CNT_SOCIAL_CIRCLE | DEF_60_CNT_SOCIAL_CIRCLE | DAYS_LAST_PHONE_CHANGE | FLAG_DOCUMENT_2 | FLAG_DOCUMENT_3 | FLAG_DOCUMENT_4 | FLAG_DOCUMENT_5 | FLAG_DOCUMENT_6 | FLAG_DOCUMENT_7 | FLAG_DOCUMENT_8 | FLAG_DOCUMENT_9 | FLAG_DOCUMENT_10 | FLAG_DOCUMENT_11 | FLAG_DOCUMENT_12 | FLAG_DOCUMENT_13 | FLAG_DOCUMENT_14 | FLAG_DOCUMENT_15 | FLAG_DOCUMENT_16 | FLAG_DOCUMENT_17 | FLAG_DOCUMENT_18 | FLAG_DOCUMENT_19 | FLAG_DOCUMENT_20 | FLAG_DOCUMENT_21 | AMT_REQ_CREDIT_BUREAU_HOUR | AMT_REQ_CREDIT_BUREAU_DAY | AMT_REQ_CREDIT_BUREAU_WEEK | AMT_REQ_CREDIT_BUREAU_MON | AMT_REQ_CREDIT_BUREAU_QRT | AMT_REQ_CREDIT_BUREAU_YEAR | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 15709 | 118330 | 0 | Cash loans | M | Y | Y | 0 | 126000.0 | 278613.0 | 25911.0 | 252000.0 | Unaccompanied | Working | Incomplete higher | Married | House / apartment | 0.010643 | -8574 | -293 | -4790.0 | -1075 | 21.0 | 0 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Trade: type 3 | NaN | NaN | 0.0 | 0.0 | 0.0 | 0.0 | NaN | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
app.drop(labels = [15709], axis =0, inplace = True)
app.columns[app.isna().any()]
Index(['AMT_ANNUITY', 'OCCUPATION_TYPE', 'EXT_SOURCE_2', 'EXT_SOURCE_3',
'OBS_30_CNT_SOCIAL_CIRCLE', 'DEF_30_CNT_SOCIAL_CIRCLE',
'OBS_60_CNT_SOCIAL_CIRCLE', 'DEF_60_CNT_SOCIAL_CIRCLE',
'AMT_REQ_CREDIT_BUREAU_HOUR', 'AMT_REQ_CREDIT_BUREAU_DAY',
'AMT_REQ_CREDIT_BUREAU_WEEK', 'AMT_REQ_CREDIT_BUREAU_MON',
'AMT_REQ_CREDIT_BUREAU_QRT', 'AMT_REQ_CREDIT_BUREAU_YEAR'],
dtype='object')
app.EXT_SOURCE_2.mean(), app.EXT_SOURCE_2.median(), app.EXT_SOURCE_2.mode()
app.EXT_SOURCE_2.isnull().sum()
659
app.columns
Index(['SK_ID_CURR', 'TARGET', 'NAME_CONTRACT_TYPE', 'CODE_GENDER',
'FLAG_OWN_CAR', 'FLAG_OWN_REALTY', 'CNT_CHILDREN', 'AMT_INCOME_TOTAL',
'AMT_CREDIT', 'AMT_ANNUITY', 'AMT_GOODS_PRICE', 'NAME_TYPE_SUITE',
'NAME_INCOME_TYPE', 'NAME_EDUCATION_TYPE', 'NAME_FAMILY_STATUS',
'NAME_HOUSING_TYPE', 'REGION_POPULATION_RELATIVE', 'DAYS_BIRTH',
'DAYS_EMPLOYED', 'DAYS_REGISTRATION', 'DAYS_ID_PUBLISH', 'OWN_CAR_AGE',
'FLAG_MOBIL', 'FLAG_EMP_PHONE', 'FLAG_WORK_PHONE', 'FLAG_CONT_MOBILE',
'FLAG_PHONE', 'FLAG_EMAIL', 'OCCUPATION_TYPE', 'CNT_FAM_MEMBERS',
'REGION_RATING_CLIENT', 'REGION_RATING_CLIENT_W_CITY',
'WEEKDAY_APPR_PROCESS_START', 'HOUR_APPR_PROCESS_START',
'REG_REGION_NOT_LIVE_REGION', 'REG_REGION_NOT_WORK_REGION',
'LIVE_REGION_NOT_WORK_REGION', 'REG_CITY_NOT_LIVE_CITY',
'REG_CITY_NOT_WORK_CITY', 'LIVE_CITY_NOT_WORK_CITY',
'ORGANIZATION_TYPE', 'EXT_SOURCE_2', 'EXT_SOURCE_3',
'OBS_30_CNT_SOCIAL_CIRCLE', 'DEF_30_CNT_SOCIAL_CIRCLE',
'OBS_60_CNT_SOCIAL_CIRCLE', 'DEF_60_CNT_SOCIAL_CIRCLE',
'DAYS_LAST_PHONE_CHANGE', 'FLAG_DOCUMENT_2', 'FLAG_DOCUMENT_3',
'FLAG_DOCUMENT_4', 'FLAG_DOCUMENT_5', 'FLAG_DOCUMENT_6',
'FLAG_DOCUMENT_7', 'FLAG_DOCUMENT_8', 'FLAG_DOCUMENT_9',
'FLAG_DOCUMENT_10', 'FLAG_DOCUMENT_11', 'FLAG_DOCUMENT_12',
'FLAG_DOCUMENT_13', 'FLAG_DOCUMENT_14', 'FLAG_DOCUMENT_15',
'FLAG_DOCUMENT_16', 'FLAG_DOCUMENT_17', 'FLAG_DOCUMENT_18',
'FLAG_DOCUMENT_19', 'FLAG_DOCUMENT_20', 'FLAG_DOCUMENT_21',
'AMT_REQ_CREDIT_BUREAU_HOUR', 'AMT_REQ_CREDIT_BUREAU_DAY',
'AMT_REQ_CREDIT_BUREAU_WEEK', 'AMT_REQ_CREDIT_BUREAU_MON',
'AMT_REQ_CREDIT_BUREAU_QRT', 'AMT_REQ_CREDIT_BUREAU_YEAR'],
dtype='object')
### Lets understand the statistics of the data after overcoming NaN values
app.describe()
| SK_ID_CURR | TARGET | CNT_CHILDREN | AMT_INCOME_TOTAL | AMT_CREDIT | AMT_ANNUITY | AMT_GOODS_PRICE | REGION_POPULATION_RELATIVE | DAYS_BIRTH | DAYS_EMPLOYED | DAYS_REGISTRATION | DAYS_ID_PUBLISH | OWN_CAR_AGE | FLAG_MOBIL | FLAG_EMP_PHONE | FLAG_WORK_PHONE | FLAG_CONT_MOBILE | FLAG_PHONE | FLAG_EMAIL | CNT_FAM_MEMBERS | REGION_RATING_CLIENT | REGION_RATING_CLIENT_W_CITY | HOUR_APPR_PROCESS_START | REG_REGION_NOT_LIVE_REGION | REG_REGION_NOT_WORK_REGION | LIVE_REGION_NOT_WORK_REGION | REG_CITY_NOT_LIVE_CITY | REG_CITY_NOT_WORK_CITY | LIVE_CITY_NOT_WORK_CITY | EXT_SOURCE_2 | EXT_SOURCE_3 | OBS_30_CNT_SOCIAL_CIRCLE | DEF_30_CNT_SOCIAL_CIRCLE | OBS_60_CNT_SOCIAL_CIRCLE | DEF_60_CNT_SOCIAL_CIRCLE | DAYS_LAST_PHONE_CHANGE | FLAG_DOCUMENT_2 | FLAG_DOCUMENT_3 | FLAG_DOCUMENT_4 | FLAG_DOCUMENT_5 | FLAG_DOCUMENT_6 | FLAG_DOCUMENT_7 | FLAG_DOCUMENT_8 | FLAG_DOCUMENT_9 | FLAG_DOCUMENT_10 | FLAG_DOCUMENT_11 | FLAG_DOCUMENT_12 | FLAG_DOCUMENT_13 | FLAG_DOCUMENT_14 | FLAG_DOCUMENT_15 | FLAG_DOCUMENT_16 | FLAG_DOCUMENT_17 | FLAG_DOCUMENT_18 | FLAG_DOCUMENT_19 | FLAG_DOCUMENT_20 | FLAG_DOCUMENT_21 | AMT_REQ_CREDIT_BUREAU_HOUR | AMT_REQ_CREDIT_BUREAU_DAY | AMT_REQ_CREDIT_BUREAU_WEEK | AMT_REQ_CREDIT_BUREAU_MON | AMT_REQ_CREDIT_BUREAU_QRT | AMT_REQ_CREDIT_BUREAU_YEAR | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| count | 307508.000000 | 307508.00000 | 307508.000000 | 3.075080e+05 | 3.075080e+05 | 307496.000000 | 3.075080e+05 | 307508.000000 | 307508.000000 | 307508.000000 | 307508.000000 | 307508.000000 | 307508.000000 | 307508.0 | 307508.000000 | 307508.000000 | 307508.000000 | 307508.000000 | 307508.000000 | 307508.000000 | 307508.000000 | 307508.000000 | 307508.000000 | 307508.000000 | 307508.000000 | 307508.000000 | 307508.000000 | 307508.000000 | 307508.000000 | 3.068490e+05 | 246545.000000 | 306487.000000 | 306487.000000 | 306487.000000 | 306487.000000 | 307508.000000 | 307508.000000 | 307508.000000 | 307508.000000 | 307508.000000 | 307508.000000 | 307508.000000 | 307508.000000 | 307508.000000 | 307508.000000 | 307508.000000 | 307508.000000 | 307508.000000 | 307508.000000 | 307508.00000 | 307508.000000 | 307508.000000 | 307508.000000 | 307508.000000 | 307508.000000 | 307508.000000 | 265991.000000 | 265991.000000 | 265991.000000 | 265991.000000 | 265991.000000 | 265991.000000 |
| mean | 278181.332947 | 0.08073 | 0.417056 | 1.687970e+05 | 5.990268e+05 | 27108.549241 | 5.379139e+05 | 0.020868 | -16037.041560 | 63815.673956 | -4986.137584 | -2994.208382 | 4.101851 | 1.0 | 0.819888 | 0.199367 | 0.998133 | 0.281066 | 0.056720 | 2.152666 | 2.052464 | 2.031521 | 12.063400 | 0.015144 | 0.050766 | 0.040656 | 0.078174 | 0.230453 | 0.179553 | 5.143916e-01 | 0.510852 | 1.422246 | 0.143422 | 1.405293 | 0.100050 | -962.860075 | 0.000042 | 0.710030 | 0.000081 | 0.015112 | 0.088056 | 0.000189 | 0.081373 | 0.003896 | 0.000023 | 0.003912 | 0.000007 | 0.003525 | 0.002937 | 0.00121 | 0.009928 | 0.000267 | 0.008127 | 0.000595 | 0.000507 | 0.000335 | 0.006402 | 0.007000 | 0.034362 | 0.267396 | 0.265475 | 1.899978 |
| std | 102789.982905 | 0.27242 | 0.722124 | 2.371237e+05 | 4.024923e+05 | 14493.802393 | 3.696327e+05 | 0.013831 | 4363.980429 | 141276.312548 | 3522.896819 | 1509.449226 | 9.009500 | 0.0 | 0.384282 | 0.399525 | 0.043164 | 0.449520 | 0.231308 | 0.910683 | 0.509036 | 0.502739 | 3.265842 | 0.122127 | 0.219520 | 0.197492 | 0.268445 | 0.421123 | 0.383815 | 1.910603e-01 | 0.194844 | 2.400997 | 0.446700 | 2.379812 | 0.362292 | 826.810973 | 0.006502 | 0.453749 | 0.009016 | 0.121998 | 0.283377 | 0.013732 | 0.273408 | 0.062295 | 0.004771 | 0.062424 | 0.002550 | 0.059268 | 0.054110 | 0.03476 | 0.099145 | 0.016328 | 0.089781 | 0.024388 | 0.022518 | 0.018299 | 0.083849 | 0.110758 | 0.204685 | 0.916004 | 0.794057 | 1.869298 |
| min | 100002.000000 | 0.00000 | 0.000000 | 2.565000e+04 | 4.500000e+04 | 1615.500000 | 0.000000e+00 | 0.000290 | -25229.000000 | -17912.000000 | -24672.000000 | -7197.000000 | 0.000000 | 1.0 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 1.000000 | 1.000000 | 1.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 8.173617e-08 | 0.000527 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | -4292.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 |
| 25% | 189146.750000 | 0.00000 | 0.000000 | 1.125000e+05 | 2.700000e+05 | 16524.000000 | 2.385000e+05 | 0.010006 | -19682.000000 | -2760.000000 | -7480.000000 | -4299.000000 | 0.000000 | 1.0 | 1.000000 | 0.000000 | 1.000000 | 0.000000 | 0.000000 | 2.000000 | 2.000000 | 2.000000 | 10.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 3.924574e-01 | 0.370650 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | -1570.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 |
| 50% | 278202.500000 | 0.00000 | 0.000000 | 1.471500e+05 | 5.135310e+05 | 24903.000000 | 4.500000e+05 | 0.018850 | -15750.000000 | -1214.000000 | -4504.000000 | -3254.000000 | 0.000000 | 1.0 | 1.000000 | 0.000000 | 1.000000 | 0.000000 | 0.000000 | 2.000000 | 2.000000 | 2.000000 | 12.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 5.659614e-01 | 0.535276 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | -757.000000 | 0.000000 | 1.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 1.000000 |
| 75% | 367143.250000 | 0.00000 | 1.000000 | 2.025000e+05 | 8.086500e+05 | 34596.000000 | 6.795000e+05 | 0.028663 | -12413.000000 | -289.000000 | -2010.000000 | -1720.000000 | 5.000000 | 1.0 | 1.000000 | 0.000000 | 1.000000 | 1.000000 | 0.000000 | 3.000000 | 2.000000 | 2.000000 | 14.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 6.636171e-01 | 0.669057 | 2.000000 | 0.000000 | 2.000000 | 0.000000 | -274.000000 | 0.000000 | 1.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 3.000000 |
| max | 456255.000000 | 1.00000 | 19.000000 | 1.170000e+08 | 4.050000e+06 | 258025.500000 | 4.050000e+06 | 0.072508 | -7489.000000 | 365243.000000 | 0.000000 | 0.000000 | 91.000000 | 1.0 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 20.000000 | 3.000000 | 3.000000 | 23.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 8.549997e-01 | 0.896010 | 348.000000 | 34.000000 | 344.000000 | 24.000000 | 0.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.00000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 4.000000 | 9.000000 | 8.000000 | 27.000000 | 261.000000 | 25.000000 |
app.shape
(307508, 74)
## we will identify using comprehension
err_cols = [c for c in app.columns if c.startswith('DAYS')]
err_cols
['DAYS_BIRTH', 'DAYS_EMPLOYED', 'DAYS_REGISTRATION', 'DAYS_ID_PUBLISH', 'DAYS_LAST_PHONE_CHANGE']
err_cols = ['DAYS_BIRTH','DAYS_EMPLOYED', 'DAYS_REGISTRATION', 'DAYS_ID_PUBLISH']
### We will convert them to absolute values
app[err_cols] = abs(app[err_cols])
app[err_cols].describe()
| DAYS_BIRTH | DAYS_EMPLOYED | DAYS_REGISTRATION | DAYS_ID_PUBLISH | |
|---|---|---|---|---|
| count | 307508.000000 | 307508.000000 | 307508.000000 | 307508.000000 |
| mean | 16037.041560 | 67725.397378 | 4986.137584 | 2994.208382 |
| std | 4363.980429 | 139444.274200 | 3522.896819 | 1509.449226 |
| min | 7489.000000 | 0.000000 | 0.000000 | 0.000000 |
| 25% | 12413.000000 | 933.000000 | 2010.000000 | 1720.000000 |
| 50% | 15750.000000 | 2219.000000 | 4504.000000 | 3254.000000 |
| 75% | 19682.000000 | 5707.000000 | 7480.000000 | 4299.000000 |
| max | 25229.000000 | 365243.000000 | 24672.000000 | 7197.000000 |
### Now these are the columns with object datatypes
app.select_dtypes("object").columns
Index(['NAME_CONTRACT_TYPE', 'CODE_GENDER', 'FLAG_OWN_CAR', 'FLAG_OWN_REALTY',
'NAME_TYPE_SUITE', 'NAME_INCOME_TYPE', 'NAME_EDUCATION_TYPE',
'NAME_FAMILY_STATUS', 'NAME_HOUSING_TYPE', 'OCCUPATION_TYPE',
'WEEKDAY_APPR_PROCESS_START', 'ORGANIZATION_TYPE'],
dtype='object')
loan_per = app.NAME_CONTRACT_TYPE.value_counts()/len(app)*100
loan_per
Cash loans 90.479272 Revolving loans 9.520728 Name: NAME_CONTRACT_TYPE, dtype: float64
app["TARGET"].value_counts()/len(app)*100
0 91.927039 1 8.072961 Name: TARGET, dtype: float64
sns.barplot(x = 'TARGET', y = app['TARGET'].value_counts(), data = app, ci = None)
plt.show();
app["TARGET"].value_counts(normalize = True)
0 0.91927 1 0.08073 Name: TARGET, dtype: float64
### Saving the corrected file copy so that , we need not run all the cells above to perform data_anaysis
app.to_csv('rev1_app.csv', index=False)
--------------------------------------------------------------------------- NameError Traceback (most recent call last) <ipython-input-2-0854615f4f63> in <module> 1 ### Saving the corrected file copy so that , we need not run all the cells above to perform data_anaysis ----> 2 app.to_csv('rev1_app.csv', index=False) NameError: name 'app' is not defined
app1 = pd.read_csv("rev1_app.csv")
app1.head()
| SK_ID_CURR | TARGET | NAME_CONTRACT_TYPE | CODE_GENDER | FLAG_OWN_CAR | FLAG_OWN_REALTY | CNT_CHILDREN | AMT_INCOME_TOTAL | AMT_CREDIT | AMT_ANNUITY | ... | FLAG_DOCUMENT_18 | FLAG_DOCUMENT_19 | FLAG_DOCUMENT_20 | FLAG_DOCUMENT_21 | AMT_REQ_CREDIT_BUREAU_HOUR | AMT_REQ_CREDIT_BUREAU_DAY | AMT_REQ_CREDIT_BUREAU_WEEK | AMT_REQ_CREDIT_BUREAU_MON | AMT_REQ_CREDIT_BUREAU_QRT | AMT_REQ_CREDIT_BUREAU_YEAR | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 100002 | 1 | Cash loans | M | N | Y | 0 | 202500.0 | 406597.5 | 24700.5 | ... | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 1 | 100003 | 0 | Cash loans | F | N | N | 0 | 270000.0 | 1293502.5 | 35698.5 | ... | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 2 | 100004 | 0 | Revolving loans | M | Y | Y | 0 | 67500.0 | 135000.0 | 6750.0 | ... | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 3 | 100006 | 0 | Cash loans | F | N | Y | 0 | 135000.0 | 312682.5 | 29686.5 | ... | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN |
| 4 | 100007 | 0 | Cash loans | M | N | Y | 0 | 121500.0 | 513000.0 | 21865.5 | ... | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
5 rows × 74 columns
pd.set_option('display.max_columns', 400)
pd.set_option('display.max_rows', 400)
app1.select_dtypes("object").columns
Index(['NAME_CONTRACT_TYPE', 'CODE_GENDER', 'FLAG_OWN_CAR', 'FLAG_OWN_REALTY',
'NAME_TYPE_SUITE', 'NAME_INCOME_TYPE', 'NAME_EDUCATION_TYPE',
'NAME_FAMILY_STATUS', 'NAME_HOUSING_TYPE', 'OCCUPATION_TYPE',
'WEEKDAY_APPR_PROCESS_START', 'ORGANIZATION_TYPE'],
dtype='object')
loan_per = app1.NAME_CONTRACT_TYPE.value_counts()/len(app1)*100
loan_per
Cash loans 90.479272 Revolving loans 9.520728 Name: NAME_CONTRACT_TYPE, dtype: float64
sns.set(font_scale=1.4)
loan_per.plot(kind='barh', figsize=(7, 6), rot=0)
plt.xlabel("Loan type", labelpad=12)
plt.ylabel("Loan counts", labelpad=12)
plt.title("Loans processed", y=1.02);
Most of the loans are sponsored for cash loans (90%) and 8% for Revolving loans
app1.CODE_GENDER.value_counts()
F 202447 M 105057 XNA 4 Name: CODE_GENDER, dtype: int64
app1.loc[app1.CODE_GENDER == "XNA"]
| SK_ID_CURR | TARGET | NAME_CONTRACT_TYPE | CODE_GENDER | FLAG_OWN_CAR | FLAG_OWN_REALTY | CNT_CHILDREN | AMT_INCOME_TOTAL | AMT_CREDIT | AMT_ANNUITY | AMT_GOODS_PRICE | NAME_TYPE_SUITE | NAME_INCOME_TYPE | NAME_EDUCATION_TYPE | NAME_FAMILY_STATUS | NAME_HOUSING_TYPE | REGION_POPULATION_RELATIVE | DAYS_BIRTH | DAYS_EMPLOYED | DAYS_REGISTRATION | DAYS_ID_PUBLISH | OWN_CAR_AGE | FLAG_MOBIL | FLAG_EMP_PHONE | FLAG_WORK_PHONE | FLAG_CONT_MOBILE | FLAG_PHONE | FLAG_EMAIL | OCCUPATION_TYPE | CNT_FAM_MEMBERS | REGION_RATING_CLIENT | REGION_RATING_CLIENT_W_CITY | WEEKDAY_APPR_PROCESS_START | HOUR_APPR_PROCESS_START | REG_REGION_NOT_LIVE_REGION | REG_REGION_NOT_WORK_REGION | LIVE_REGION_NOT_WORK_REGION | REG_CITY_NOT_LIVE_CITY | REG_CITY_NOT_WORK_CITY | LIVE_CITY_NOT_WORK_CITY | ORGANIZATION_TYPE | EXT_SOURCE_2 | EXT_SOURCE_3 | OBS_30_CNT_SOCIAL_CIRCLE | DEF_30_CNT_SOCIAL_CIRCLE | OBS_60_CNT_SOCIAL_CIRCLE | DEF_60_CNT_SOCIAL_CIRCLE | DAYS_LAST_PHONE_CHANGE | FLAG_DOCUMENT_2 | FLAG_DOCUMENT_3 | FLAG_DOCUMENT_4 | FLAG_DOCUMENT_5 | FLAG_DOCUMENT_6 | FLAG_DOCUMENT_7 | FLAG_DOCUMENT_8 | FLAG_DOCUMENT_9 | FLAG_DOCUMENT_10 | FLAG_DOCUMENT_11 | FLAG_DOCUMENT_12 | FLAG_DOCUMENT_13 | FLAG_DOCUMENT_14 | FLAG_DOCUMENT_15 | FLAG_DOCUMENT_16 | FLAG_DOCUMENT_17 | FLAG_DOCUMENT_18 | FLAG_DOCUMENT_19 | FLAG_DOCUMENT_20 | FLAG_DOCUMENT_21 | AMT_REQ_CREDIT_BUREAU_HOUR | AMT_REQ_CREDIT_BUREAU_DAY | AMT_REQ_CREDIT_BUREAU_WEEK | AMT_REQ_CREDIT_BUREAU_MON | AMT_REQ_CREDIT_BUREAU_QRT | AMT_REQ_CREDIT_BUREAU_YEAR | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 35656 | 141289 | 0 | Revolving loans | XNA | Y | Y | 0 | 207000.0 | 382500.0 | 19125.0 | 337500.0 | Unaccompanied | Working | Secondary / secondary special | Married | Municipal apartment | 0.020713 | 20232.0 | 10044.0 | 10024.0 | 3537.0 | 13.0 | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 2.0 | 3 | 3 | TUESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 1 | 0.295998 | 0.461482 | 0.0 | 0.0 | 0.0 | 0.0 | -286.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 38565 | 144669 | 0 | Revolving loans | XNA | N | Y | 2 | 157500.0 | 270000.0 | 13500.0 | 225000.0 | Family | Working | Secondary / secondary special | Married | House / apartment | 0.026392 | 13717.0 | 2797.0 | 2241.0 | 4659.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | Low-skill Laborers | 4.0 | 2 | 2 | FRIDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Industry: type 3 | 0.709205 | 0.310818 | 0.0 | 0.0 | 0.0 | 0.0 | -493.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | 4.0 |
| 83380 | 196708 | 0 | Revolving loans | XNA | N | Y | 1 | 135000.0 | 405000.0 | 20250.0 | 225000.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.035792 | 10647.0 | 1228.0 | 183.0 | 1671.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | Core staff | 3.0 | 2 | 2 | THURSDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Kindergarten | 0.659185 | 0.076984 | 7.0 | 1.0 | 7.0 | 1.0 | -851.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 |
| 189637 | 319880 | 0 | Revolving loans | XNA | Y | Y | 0 | 247500.0 | 540000.0 | 27000.0 | 900000.0 | Unaccompanied | Commercial associate | Incomplete higher | Civil marriage | House / apartment | 0.035792 | 9649.0 | 2293.0 | 4099.0 | 2326.0 | 8.0 | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Medicine | 0.658620 | 0.360613 | 10.0 | 4.0 | 10.0 | 4.0 | -1681.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 6.0 |
Based on column CODE_GENDER, we can drop the rows as the data is 'XNA' i.e may be the description is Indeterminate/Intersex/Unspecified.
app1["CODE_GENDER"].drop(labels =[35656,38565,83380,189637], axis =0, inplace = True)
app1.CODE_GENDER.value_counts(), app1.shape
(F 202447 M 105057 Name: CODE_GENDER, dtype: int64, (307508, 74))
sns.set(font_scale=1.5)
app1["CODE_GENDER"].value_counts().plot(kind='bar', figsize=(8, 6), rot=0)
plt.xlabel("GENDER", labelpad=10)
plt.ylabel("COUNTS", labelpad=10)
plt.title("TOTAL COUNTS", y=1.02);
More Loan applications is observed for Females yet we dont know who has payment issues
app1["FLAG_OWN_CAR"].value_counts()
N 202922 Y 104586 Name: FLAG_OWN_CAR, dtype: int64
sns.set(font_scale=1.5)
app1["FLAG_OWN_CAR"].value_counts().plot(kind='bar', figsize=(8, 6), rot=0)
plt.xlabel("OWNS_CAR", labelpad=10)
plt.ylabel("COUNTS", labelpad=10)
plt.title("TOTAL COUNTS", y=1.02);
app1["FLAG_OWN_REALTY"].value_counts()
Y 213309 N 94199 Name: FLAG_OWN_REALTY, dtype: int64
sns.set(font_scale=1.5)
app1["FLAG_OWN_REALTY"].value_counts().plot(kind='bar', figsize=(8, 6), rot=0)
plt.xlabel("OWNS_REAL_ESTATE", labelpad=10)
plt.ylabel("NUMBERS", labelpad=10)
plt.title("TOTAL NUMBERS", y=1.02);
app1.select_dtypes("object").columns
Index(['NAME_CONTRACT_TYPE', 'CODE_GENDER', 'FLAG_OWN_CAR', 'FLAG_OWN_REALTY',
'NAME_TYPE_SUITE', 'NAME_INCOME_TYPE', 'NAME_EDUCATION_TYPE',
'NAME_FAMILY_STATUS', 'NAME_HOUSING_TYPE', 'OCCUPATION_TYPE',
'WEEKDAY_APPR_PROCESS_START', 'ORGANIZATION_TYPE'],
dtype='object')
app1["NAME_TYPE_SUITE"].value_counts()
Unaccompanied 249815 Family 40149 Spouse, partner 11370 Children 3267 Other_B 1770 Other_A 866 Group of people 271 Name: NAME_TYPE_SUITE, dtype: int64
sns.set(font_scale=1.5)
app1["NAME_TYPE_SUITE"].value_counts().plot(kind='barh', figsize=(8, 6), rot=0)
plt.xlabel("NUMBERS", labelpad=10)
plt.ylabel("SUITE OPTIONS", labelpad=10)
plt.title("TOTAL NUMBERS", y=1.02);
app1["NAME_INCOME_TYPE"].value_counts()
Working 158773 Commercial associate 71615 Pensioner 55362 State servant 21703 Unemployed 22 Student 18 Businessman 10 Maternity leave 5 Name: NAME_INCOME_TYPE, dtype: int64
per_income_typ= app1["NAME_INCOME_TYPE"].value_counts()/len(app1)*100
per_income_typ.plot(kind='bar', figsize=(10, 8), rot=90 )
plt.xlabel("INCOME_TYPE", labelpad=10)
plt.ylabel("%COUNT", labelpad=10)
plt.title("INCOME_TYPE_%COUNTS", y=1.0);
app1["NAME_EDUCATION_TYPE"].value_counts()
Secondary / secondary special 218391 Higher education 74862 Incomplete higher 10276 Lower secondary 3815 Academic degree 164 Name: NAME_EDUCATION_TYPE, dtype: int64
per_income_typ= app1["NAME_EDUCATION_TYPE"].value_counts()/len(app1)*100
per_income_typ.plot(kind='bar', figsize=(10, 8), rot=90 )
plt.xlabel("EDUCATION_TYPE", labelpad=10)
plt.ylabel("%COUNT", labelpad=10)
plt.title("EDUCATION_TYPE_%COUNTS", y=1.0);
app1["NAME_FAMILY_STATUS"].value_counts().plot(kind='bar', figsize=(10, 8), rot=90);
app1["NAME_HOUSING_TYPE"].value_counts().plot(kind='bar', figsize=(8, 6), rot=90);
app1["OCCUPATION_TYPE"].value_counts().plot(kind='bar', figsize=(8, 6), rot=90);
app1["WEEKDAY_APPR_PROCESS_START"].value_counts().plot(kind='bar');
app1["ORGANIZATION_TYPE"].value_counts().plot(kind='bar', figsize=(15, 12), rot=90)
plt.xlabel("ORGANIZATION_TYPE", labelpad=8)
plt.ylabel("COUNTS", labelpad=8)
plt.title("ORGANIZATION_TYPE_COUNTS", y=1.0);
#### Most of the loans are decided based on income of client, assets, years of working period/timeline of loan,
### loan credit amount...most of them, we will identify the amount based columns and analyse the data here
col_amt = [c for c in app1.columns if c.startswith('AMT')]
col_amt
['AMT_INCOME_TOTAL', 'AMT_CREDIT', 'AMT_ANNUITY', 'AMT_GOODS_PRICE', 'AMT_REQ_CREDIT_BUREAU_HOUR', 'AMT_REQ_CREDIT_BUREAU_DAY', 'AMT_REQ_CREDIT_BUREAU_WEEK', 'AMT_REQ_CREDIT_BUREAU_MON', 'AMT_REQ_CREDIT_BUREAU_QRT', 'AMT_REQ_CREDIT_BUREAU_YEAR']
### Lets check the income columns for any outliers
sns.boxplot(app1["AMT_INCOME_TOTAL"].value_counts())
<matplotlib.axes._subplots.AxesSubplot at 0x12859528a58>
### Binnning the values and converting them numerical to categorical
app1["AMT_INCOME_CAT"] = pd.qcut(app1.AMT_INCOME_TOTAL,q=[0,0.2,0.4,0.6,0.8,1.0],labels = ["VLOW","LOW","MEDIOCRE","HIGH","VHIGH"])
app1.AMT_INCOME_CAT.head()
0 HIGH 1 VHIGH 2 VLOW 3 LOW 4 LOW Name: AMT_INCOME_CAT, dtype: category Categories (5, object): [VLOW < LOW < MEDIOCRE < HIGH < VHIGH]
### Binning values for income credit loan
app1["AMT_CREDIT_CAT"] = pd.qcut(app1.AMT_CREDIT,q=[0,0.2,0.4,0.6,0.8,1.0],labels = ["VLOW","LOW","MEDIOCRE","HIGH","VHIGH"])
app1.AMT_CREDIT_CAT.head()
0 LOW 1 VHIGH 2 VLOW 3 LOW 4 MEDIOCRE Name: AMT_CREDIT_CAT, dtype: category Categories (5, object): [VLOW < LOW < MEDIOCRE < HIGH < VHIGH]
app1.AMT_CREDIT_CAT.value_counts().plot(kind= "bar")
<matplotlib.axes._subplots.AxesSubplot at 0x1285900acf8>
app1.AMT_INCOME_CAT.value_counts().plot(kind= "bar")
<matplotlib.axes._subplots.AxesSubplot at 0x12858f2b6d8>
col_day = [c for c in app1.columns if c.startswith('DAYS')]
col_day
['DAYS_BIRTH', 'DAYS_EMPLOYED', 'DAYS_REGISTRATION', 'DAYS_ID_PUBLISH', 'DAYS_LAST_PHONE_CHANGE']
### Lets check on the age group for the data clients age in days
app1.DAYS_BIRTH.min(), app1.DAYS_BIRTH.max(), app1.DAYS_BIRTH.mean()
(7489.0, 25229.0, 16037.041559894376)
### Lets do binning of these values as well to know in which age group they fall
app1["DAYS_BIRTH_CAT"] = pd.cut(app1.DAYS_BIRTH,bins=[0,5475,9125,16425,25550],labels = ["YOUNG","TEENAGE","MIDDLE-AGE","SENIORS"])
app1["DAYS_BIRTH_CAT"].head()
0 MIDDLE-AGE 1 SENIORS 2 SENIORS 3 SENIORS 4 SENIORS Name: DAYS_BIRTH_CAT, dtype: category Categories (4, object): [YOUNG < TEENAGE < MIDDLE-AGE < SENIORS]
app1.DAYS_BIRTH_CAT.value_counts().plot(kind="bar");
### Thats for binning values, lets identify outliers in the data
sns.boxplot(y = app1["AMT_INCOME_TOTAL"])
plt.title("AMT_INCOME_DISTRIBUTION")
plt.show();
### Lets try with plotly plots as the plot above is not clear, importing library
import plotly
import plotly.express as px
fig = px.box(app1, y="AMT_INCOME_TOTAL",title='AMT_INCOME_DISTRIBUTION' )
fig.show()
sns.boxplot(y = app1["DAYS_BIRTH"])
plt.show();
sns.boxplot(y = app1["AMT_ANNUITY"])
plt.show();
sns.boxplot(y = app1["DAYS_EMPLOYED"])
plt.show();
sns.boxplot(y = app1["DAYS_REGISTRATION"])
plt.show();
app1.TARGET.value_counts()
0 282683 1 24825 Name: TARGET, dtype: int64
data_imbalance = app1.TARGET.value_counts()/len(app1)*100
data_imbalance
0 91.927039 1 8.072961 Name: TARGET, dtype: float64
colors = sns.color_palette('pastel')
plt.pie(data_imbalance, labels = ["Nopayissue", "payissue"],colors = colors, autopct='%.f%%')
plt.title("Data Imbalance")
plt.show();
app1[app1["TARGET"] == 0]
| SK_ID_CURR | TARGET | NAME_CONTRACT_TYPE | CODE_GENDER | FLAG_OWN_CAR | FLAG_OWN_REALTY | CNT_CHILDREN | AMT_INCOME_TOTAL | AMT_CREDIT | AMT_ANNUITY | AMT_GOODS_PRICE | NAME_TYPE_SUITE | NAME_INCOME_TYPE | NAME_EDUCATION_TYPE | NAME_FAMILY_STATUS | NAME_HOUSING_TYPE | REGION_POPULATION_RELATIVE | DAYS_BIRTH | DAYS_EMPLOYED | DAYS_REGISTRATION | DAYS_ID_PUBLISH | OWN_CAR_AGE | FLAG_MOBIL | FLAG_EMP_PHONE | FLAG_WORK_PHONE | FLAG_CONT_MOBILE | FLAG_PHONE | FLAG_EMAIL | OCCUPATION_TYPE | CNT_FAM_MEMBERS | REGION_RATING_CLIENT | REGION_RATING_CLIENT_W_CITY | WEEKDAY_APPR_PROCESS_START | HOUR_APPR_PROCESS_START | REG_REGION_NOT_LIVE_REGION | REG_REGION_NOT_WORK_REGION | LIVE_REGION_NOT_WORK_REGION | REG_CITY_NOT_LIVE_CITY | REG_CITY_NOT_WORK_CITY | LIVE_CITY_NOT_WORK_CITY | ORGANIZATION_TYPE | EXT_SOURCE_2 | EXT_SOURCE_3 | OBS_30_CNT_SOCIAL_CIRCLE | DEF_30_CNT_SOCIAL_CIRCLE | OBS_60_CNT_SOCIAL_CIRCLE | DEF_60_CNT_SOCIAL_CIRCLE | DAYS_LAST_PHONE_CHANGE | FLAG_DOCUMENT_2 | FLAG_DOCUMENT_3 | FLAG_DOCUMENT_4 | FLAG_DOCUMENT_5 | FLAG_DOCUMENT_6 | FLAG_DOCUMENT_7 | FLAG_DOCUMENT_8 | FLAG_DOCUMENT_9 | FLAG_DOCUMENT_10 | FLAG_DOCUMENT_11 | FLAG_DOCUMENT_12 | FLAG_DOCUMENT_13 | FLAG_DOCUMENT_14 | FLAG_DOCUMENT_15 | FLAG_DOCUMENT_16 | FLAG_DOCUMENT_17 | FLAG_DOCUMENT_18 | FLAG_DOCUMENT_19 | FLAG_DOCUMENT_20 | FLAG_DOCUMENT_21 | AMT_REQ_CREDIT_BUREAU_HOUR | AMT_REQ_CREDIT_BUREAU_DAY | AMT_REQ_CREDIT_BUREAU_WEEK | AMT_REQ_CREDIT_BUREAU_MON | AMT_REQ_CREDIT_BUREAU_QRT | AMT_REQ_CREDIT_BUREAU_YEAR | AMT_INCOME_CAT | AMT_CREDIT_CAT | DAYS_BIRTH_CAT | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 100003 | 0 | Cash loans | F | N | N | 0 | 270000.000 | 1293502.5 | 35698.5 | 1129500.0 | Family | State servant | Higher education | Married | House / apartment | 0.003541 | 16765.0 | 1188.0 | 1186.0 | 291.0 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | Core staff | 2.0 | 1 | 1 | MONDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | School | 0.622246 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -828.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VHIGH | VHIGH | SENIORS |
| 2 | 100004 | 0 | Revolving loans | M | Y | Y | 0 | 67500.000 | 135000.0 | 6750.0 | 135000.0 | Unaccompanied | Working | Secondary / secondary special | Single / not married | House / apartment | 0.010032 | 19046.0 | 225.0 | 4260.0 | 2531.0 | 26.0 | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 1.0 | 2 | 2 | MONDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Government | 0.555912 | 0.729567 | 0.0 | 0.0 | 0.0 | 0.0 | -815.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VLOW | VLOW | SENIORS |
| 3 | 100006 | 0 | Cash loans | F | N | Y | 0 | 135000.000 | 312682.5 | 29686.5 | 297000.0 | Unaccompanied | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.008019 | 19005.0 | 3039.0 | 9833.0 | 2437.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | WEDNESDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.650442 | NaN | 2.0 | 0.0 | 2.0 | 0.0 | -617.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | LOW | LOW | SENIORS |
| 4 | 100007 | 0 | Cash loans | M | N | Y | 0 | 121500.000 | 513000.0 | 21865.5 | 513000.0 | Unaccompanied | Working | Secondary / secondary special | Single / not married | House / apartment | 0.028663 | 19932.0 | 3038.0 | 4311.0 | 3458.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 1.0 | 2 | 2 | THURSDAY | 11 | 0 | 0 | 0 | 0 | 1 | 1 | Religion | 0.322738 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1106.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | LOW | MEDIOCRE | SENIORS |
| 5 | 100008 | 0 | Cash loans | M | N | Y | 0 | 99000.000 | 490495.5 | 27517.5 | 454500.0 | Spouse, partner | State servant | Secondary / secondary special | Married | House / apartment | 0.035792 | 16941.0 | 1588.0 | 4970.0 | 477.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 2.0 | 2 | 2 | WEDNESDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.354225 | 0.621226 | 0.0 | 0.0 | 0.0 | 0.0 | -2536.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | VLOW | MEDIOCRE | SENIORS |
| 6 | 100009 | 0 | Cash loans | F | Y | Y | 1 | 171000.000 | 1560726.0 | 41301.0 | 1395000.0 | Unaccompanied | Commercial associate | Higher education | Married | House / apartment | 0.035792 | 13778.0 | 3130.0 | 1213.0 | 619.0 | 17.0 | 1 | 1 | 0 | 1 | 1 | 0 | Accountants | 3.0 | 2 | 2 | SUNDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.724000 | 0.492060 | 1.0 | 0.0 | 1.0 | 0.0 | -1562.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 2.0 | HIGH | VHIGH | MIDDLE-AGE |
| 7 | 100010 | 0 | Cash loans | M | Y | Y | 0 | 360000.000 | 1530000.0 | 42075.0 | 1530000.0 | Unaccompanied | State servant | Higher education | Married | House / apartment | 0.003122 | 18850.0 | 449.0 | 4597.0 | 2379.0 | 8.0 | 1 | 1 | 1 | 1 | 0 | 0 | Managers | 2.0 | 3 | 3 | MONDAY | 16 | 0 | 0 | 0 | 0 | 1 | 1 | Other | 0.714279 | 0.540654 | 2.0 | 0.0 | 2.0 | 0.0 | -1070.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VHIGH | VHIGH | SENIORS |
| 8 | 100011 | 0 | Cash loans | F | N | Y | 0 | 112500.000 | 1019610.0 | 33826.5 | 913500.0 | Children | Pensioner | Secondary / secondary special | Married | House / apartment | 0.018634 | 20099.0 | 365243.0 | 7427.0 | 3514.0 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.205747 | 0.751724 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | LOW | VHIGH | SENIORS |
| 9 | 100012 | 0 | Revolving loans | M | N | Y | 0 | 135000.000 | 405000.0 | 20250.0 | 405000.0 | Unaccompanied | Working | Secondary / secondary special | Single / not married | House / apartment | 0.019689 | 14469.0 | 2019.0 | 14437.0 | 3992.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 1.0 | 2 | 2 | THURSDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Electricity | 0.746644 | NaN | 2.0 | 0.0 | 2.0 | 0.0 | -1673.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | LOW | LOW | MIDDLE-AGE |
| 10 | 100014 | 0 | Cash loans | F | N | Y | 1 | 112500.000 | 652500.0 | 21177.0 | 652500.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.022800 | 10197.0 | 679.0 | 4427.0 | 738.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 3.0 | 2 | 2 | SATURDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Medicine | 0.651862 | 0.363945 | 0.0 | 0.0 | 0.0 | 0.0 | -844.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | LOW | HIGH | MIDDLE-AGE |
| 11 | 100015 | 0 | Cash loans | F | N | Y | 0 | 38419.155 | 148365.0 | 10678.5 | 135000.0 | Children | Pensioner | Secondary / secondary special | Married | House / apartment | 0.015221 | 20417.0 | 365243.0 | 5246.0 | 2512.0 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 7 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.555183 | 0.652897 | 0.0 | 0.0 | 0.0 | 0.0 | -2396.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | VLOW | VLOW | SENIORS |
| 12 | 100016 | 0 | Cash loans | F | N | Y | 0 | 67500.000 | 80865.0 | 5881.5 | 67500.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.031329 | 13439.0 | 2717.0 | 311.0 | 3227.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 2.0 | 2 | 2 | FRIDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | 0.715042 | 0.176653 | 0.0 | 0.0 | 0.0 | 0.0 | -2370.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | VLOW | VLOW | MIDDLE-AGE |
| 13 | 100017 | 0 | Cash loans | M | Y | N | 1 | 225000.000 | 918468.0 | 28966.5 | 697500.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.016612 | 14086.0 | 3028.0 | 643.0 | 4911.0 | 23.0 | 1 | 1 | 0 | 1 | 0 | 0 | Drivers | 3.0 | 2 | 2 | THURSDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.566907 | 0.770087 | 0.0 | 0.0 | 0.0 | 0.0 | -4.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | HIGH | VHIGH | MIDDLE-AGE |
| 14 | 100018 | 0 | Cash loans | F | N | Y | 0 | 189000.000 | 773680.5 | 32778.0 | 679500.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.010006 | 14583.0 | 203.0 | 615.0 | 2056.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 1 | MONDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Transport: type 2 | 0.642656 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -188.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | HIGH | HIGH | MIDDLE-AGE |
| 15 | 100019 | 0 | Cash loans | M | Y | Y | 0 | 157500.000 | 299772.0 | 20160.0 | 247500.0 | Family | Working | Secondary / secondary special | Single / not married | Rented apartment | 0.020713 | 8728.0 | 1157.0 | 3494.0 | 1368.0 | 17.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 1.0 | 3 | 3 | SATURDAY | 6 | 0 | 0 | 0 | 1 | 1 | 0 | Business Entity Type 2 | 0.346634 | 0.678568 | 0.0 | 0.0 | 0.0 | 0.0 | -925.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | MEDIOCRE | LOW | TEENAGE |
| 16 | 100020 | 0 | Cash loans | M | N | N | 0 | 108000.000 | 509602.5 | 26149.5 | 387000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.018634 | 12931.0 | 1317.0 | 6392.0 | 3866.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Drivers | 2.0 | 2 | 2 | THURSDAY | 12 | 0 | 0 | 0 | 1 | 1 | 0 | Government | 0.236378 | 0.062103 | 0.0 | 0.0 | 0.0 | 0.0 | -3.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | LOW | MEDIOCRE | MIDDLE-AGE |
| 17 | 100021 | 0 | Revolving loans | F | N | Y | 1 | 81000.000 | 270000.0 | 13500.0 | 270000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.010966 | 9776.0 | 191.0 | 4143.0 | 2427.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 3.0 | 2 | 2 | MONDAY | 10 | 0 | 0 | 0 | 1 | 1 | 0 | Construction | 0.683513 | NaN | 4.0 | 0.0 | 4.0 | 0.0 | -2811.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | VLOW | LOW | MIDDLE-AGE |
| 18 | 100022 | 0 | Revolving loans | F | N | Y | 0 | 112500.000 | 157500.0 | 7875.0 | 157500.0 | Other_A | Working | Secondary / secondary special | Widow | House / apartment | 0.046220 | 17718.0 | 7804.0 | 8751.0 | 1259.0 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | Laborers | 1.0 | 1 | 1 | FRIDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Housing | 0.706428 | 0.556727 | 8.0 | 0.0 | 8.0 | 0.0 | -239.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | LOW | VLOW | SENIORS |
| 19 | 100023 | 0 | Cash loans | F | N | Y | 1 | 90000.000 | 544491.0 | 17563.5 | 454500.0 | Unaccompanied | State servant | Higher education | Single / not married | House / apartment | 0.015221 | 11348.0 | 2038.0 | 1021.0 | 3964.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | Core staff | 2.0 | 2 | 2 | MONDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Kindergarten | 0.586617 | 0.477649 | 0.0 | 0.0 | 0.0 | 0.0 | -1850.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | VLOW | MEDIOCRE | MIDDLE-AGE |
| 20 | 100024 | 0 | Revolving loans | M | Y | Y | 0 | 135000.000 | 427500.0 | 21375.0 | 427500.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.015221 | 18252.0 | 4286.0 | 298.0 | 1800.0 | 7.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | FRIDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.113375 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -296.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | LOW | LOW | SENIORS |
| 21 | 100025 | 0 | Cash loans | F | Y | Y | 1 | 202500.000 | 1132573.5 | 37561.5 | 927000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.025164 | 14815.0 | 1652.0 | 2299.0 | 2299.0 | 14.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 3.0 | 2 | 2 | MONDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Trade: type 7 | 0.233767 | 0.542445 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 | HIGH | VHIGH | MIDDLE-AGE |
| 22 | 100026 | 0 | Cash loans | F | N | N | 1 | 450000.000 | 497520.0 | 32521.5 | 450000.0 | Unaccompanied | Working | Secondary / secondary special | Married | Rented apartment | 0.020713 | 11146.0 | 4306.0 | 114.0 | 2518.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 3.0 | 3 | 2 | THURSDAY | 6 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.457143 | 0.358951 | 0.0 | 0.0 | 0.0 | 0.0 | -468.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 | VHIGH | MEDIOCRE | MIDDLE-AGE |
| 23 | 100027 | 0 | Cash loans | F | N | Y | 0 | 83250.000 | 239850.0 | 23850.0 | 225000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.006296 | 24827.0 | 365243.0 | 9012.0 | 3684.0 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 3 | 3 | FRIDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.624305 | 0.669057 | 0.0 | 0.0 | 0.0 | 0.0 | -795.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | VLOW | VLOW | SENIORS |
| 24 | 100029 | 0 | Cash loans | M | Y | N | 2 | 135000.000 | 247500.0 | 12703.5 | 247500.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.026392 | 11286.0 | 746.0 | 108.0 | 3729.0 | 7.0 | 1 | 1 | 0 | 1 | 0 | 0 | Drivers | 4.0 | 2 | 2 | THURSDAY | 14 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | 0.786179 | 0.565608 | 1.0 | 1.0 | 1.0 | 0.0 | -4.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | LOW | VLOW | MIDDLE-AGE |
| 25 | 100030 | 0 | Cash loans | F | N | Y | 0 | 90000.000 | 225000.0 | 11074.5 | 225000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.028663 | 19334.0 | 3494.0 | 2419.0 | 2893.0 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | Cleaning staff | 2.0 | 2 | 2 | SATURDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.651406 | 0.461482 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VLOW | VLOW | SENIORS |
| 27 | 100032 | 0 | Cash loans | M | N | Y | 1 | 112500.000 | 327024.0 | 23827.5 | 270000.0 | Family | Working | Secondary / secondary special | Married | House / apartment | 0.019101 | 15948.0 | 1234.0 | 5782.0 | 3153.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 3.0 | 2 | 2 | SATURDAY | 10 | 0 | 0 | 0 | 0 | 1 | 1 | Industry: type 11 | 0.541124 | 0.659406 | 2.0 | 0.0 | 2.0 | 0.0 | -2.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | LOW | LOW | MIDDLE-AGE |
| 28 | 100033 | 0 | Cash loans | M | Y | Y | 0 | 270000.000 | 790830.0 | 57676.5 | 675000.0 | Unaccompanied | State servant | Higher education | Single / not married | House / apartment | 0.046220 | 9994.0 | 1796.0 | 4668.0 | 2661.0 | 1.0 | 1 | 1 | 0 | 1 | 0 | 1 | NaN | 1.0 | 1 | 1 | WEDNESDAY | 11 | 0 | 1 | 1 | 0 | 0 | 0 | Military | 0.685011 | 0.524496 | 0.0 | 0.0 | 0.0 | 0.0 | -849.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | VHIGH | HIGH | MIDDLE-AGE |
| 29 | 100034 | 0 | Revolving loans | M | N | Y | 0 | 90000.000 | 180000.0 | 9000.0 | 180000.0 | Unaccompanied | Working | Higher education | Single / not married | With parents | 0.030755 | 10341.0 | 1010.0 | 4799.0 | 3015.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 1.0 | 2 | 2 | TUESDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.502779 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -599.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | VLOW | VLOW | MIDDLE-AGE |
| 30 | 100035 | 0 | Cash loans | F | N | Y | 0 | 292500.000 | 665892.0 | 24592.5 | 477000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Civil marriage | House / apartment | 0.025164 | 15280.0 | 2668.0 | 5266.0 | 3787.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 1 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.479987 | 0.410103 | 0.0 | 0.0 | 0.0 | 0.0 | -1634.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 5.0 | VHIGH | HIGH | MIDDLE-AGE |
| 31 | 100036 | 0 | Cash loans | F | N | Y | 0 | 112500.000 | 512064.0 | 25033.5 | 360000.0 | Family | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.008575 | 11144.0 | 1104.0 | 7846.0 | 2904.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Private service staff | 2.0 | 2 | 2 | TUESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Services | 0.627300 | NaN | 2.0 | 0.0 | 2.0 | 0.0 | -397.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 5.0 | LOW | MEDIOCRE | MIDDLE-AGE |
| 32 | 100037 | 0 | Cash loans | F | N | N | 0 | 90000.000 | 199008.0 | 20893.5 | 180000.0 | Unaccompanied | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.010032 | 12974.0 | 4404.0 | 7123.0 | 4464.0 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | SATURDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | 0.559467 | 0.798137 | 0.0 | 0.0 | 0.0 | 0.0 | -2766.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | VLOW | VLOW | MIDDLE-AGE |
| 33 | 100039 | 0 | Cash loans | M | Y | N | 1 | 360000.000 | 733315.5 | 39069.0 | 679500.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.015221 | 11694.0 | 2060.0 | 3557.0 | 3557.0 | 3.0 | 1 | 1 | 0 | 1 | 0 | 0 | Drivers | 3.0 | 2 | 2 | THURSDAY | 10 | 0 | 0 | 0 | 1 | 1 | 0 | Self-employed | 0.321745 | 0.411849 | 2.0 | 0.0 | 2.0 | 0.0 | -697.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | VHIGH | HIGH | MIDDLE-AGE |
| 34 | 100040 | 0 | Cash loans | F | N | Y | 0 | 135000.000 | 1125000.0 | 32895.0 | 1125000.0 | Unaccompanied | State servant | Higher education | Married | House / apartment | 0.019689 | 15997.0 | 4585.0 | 5735.0 | 4067.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 2.0 | 2 | 2 | FRIDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Security Ministries | 0.172498 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -3019.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | LOW | VHIGH | MIDDLE-AGE |
| 35 | 100041 | 0 | Cash loans | F | N | N | 0 | 112500.000 | 450000.0 | 44509.5 | 450000.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.008575 | 12158.0 | 1275.0 | 6265.0 | 2009.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | Sales staff | 2.0 | 2 | 2 | MONDAY | 19 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.663158 | 0.678568 | 0.0 | 0.0 | 0.0 | 0.0 | -1285.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | LOW | MEDIOCRE | MIDDLE-AGE |
| 36 | 100043 | 0 | Cash loans | F | N | Y | 2 | 198000.000 | 641173.5 | 23157.0 | 553500.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.018850 | 17199.0 | 768.0 | 63.0 | 735.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | Private service staff | 4.0 | 2 | 2 | THURSDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.681699 | 0.754406 | 0.0 | 0.0 | 0.0 | 0.0 | -2411.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | HIGH | HIGH | SENIORS |
| 37 | 100044 | 0 | Cash loans | M | N | Y | 0 | 121500.000 | 454500.0 | 15151.5 | 454500.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.030755 | 21077.0 | 1288.0 | 5474.0 | 4270.0 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | Drivers | 2.0 | 2 | 2 | FRIDAY | 10 | 0 | 0 | 0 | 0 | 1 | 1 | Transport: type 4 | 0.719799 | 0.722393 | 0.0 | 0.0 | 0.0 | 0.0 | -1541.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | LOW | MEDIOCRE | SENIORS |
| 38 | 100045 | 0 | Cash loans | F | N | Y | 0 | 99000.000 | 247275.0 | 17338.5 | 225000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.006207 | 23920.0 | 365243.0 | 9817.0 | 4969.0 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.650765 | 0.751724 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | VLOW | VLOW | SENIORS |
| 39 | 100046 | 0 | Revolving loans | M | Y | Y | 0 | 180000.000 | 540000.0 | 27000.0 | 540000.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.025164 | 16126.0 | 1761.0 | 8236.0 | 4292.0 | 3.0 | 1 | 1 | 0 | 1 | 0 | 0 | Managers | 2.0 | 2 | 2 | TUESDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.738053 | 0.605836 | 1.0 | 0.0 | 1.0 | 0.0 | -540.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | HIGH | MEDIOCRE | MIDDLE-AGE |
| 41 | 100048 | 0 | Cash loans | F | N | Y | 0 | 202500.000 | 604152.0 | 29196.0 | 540000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.009175 | 16971.0 | 475.0 | 3148.0 | 513.0 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | Laborers | 2.0 | 2 | 2 | MONDAY | 12 | 0 | 1 | 1 | 0 | 1 | 1 | Industry: type 1 | 0.037315 | NaN | 4.0 | 0.0 | 4.0 | 0.0 | -458.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 | HIGH | MEDIOCRE | SENIORS |
| 43 | 100050 | 0 | Cash loans | F | N | Y | 0 | 108000.000 | 746280.0 | 42970.5 | 675000.0 | Unaccompanied | Pensioner | Higher education | Single / not married | House / apartment | 0.010966 | 23548.0 | 365243.0 | 5745.0 | 4576.0 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | WEDNESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.766138 | 0.684828 | 0.0 | 0.0 | 0.0 | 0.0 | -491.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | LOW | HIGH | SENIORS |
| 44 | 100051 | 0 | Cash loans | M | N | Y | 0 | 202500.000 | 661702.5 | 48280.5 | 598500.0 | Unaccompanied | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.007114 | 9827.0 | 758.0 | 4166.0 | 2380.0 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 12 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | 0.631519 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -556.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | HIGH | HIGH | MIDDLE-AGE |
| 45 | 100052 | 0 | Revolving loans | F | N | Y | 1 | 90000.000 | 180000.0 | 9000.0 | 180000.0 | Family | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.009334 | 7974.0 | 895.0 | 6591.0 | 642.0 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | Sales staff | 3.0 | 2 | 2 | MONDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.535542 | NaN | 1.0 | 1.0 | 1.0 | 1.0 | -462.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | VLOW | VLOW | TEENAGE |
| 46 | 100053 | 0 | Cash loans | F | N | Y | 0 | 202500.000 | 305221.5 | 17649.0 | 252000.0 | Family | Pensioner | Secondary / secondary special | Single / not married | House / apartment | 0.019689 | 20373.0 | 365243.0 | 7760.0 | 1993.0 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | MONDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.247665 | 0.475850 | 0.0 | 0.0 | 0.0 | 0.0 | -649.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 4.0 | HIGH | LOW | SENIORS |
| 47 | 100054 | 0 | Cash loans | F | N | Y | 0 | 99000.000 | 260640.0 | 26838.0 | 225000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.022625 | 20121.0 | 5332.0 | 9197.0 | 3283.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | Medicine staff | 2.0 | 2 | 2 | WEDNESDAY | 16 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | 0.089241 | 0.728141 | 4.0 | 0.0 | 4.0 | 0.0 | -1247.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | VLOW | LOW | SENIORS |
| 48 | 100055 | 0 | Cash loans | F | N | N | 0 | 130500.000 | 1350000.0 | 37255.5 | 1350000.0 | Unaccompanied | State servant | Secondary / secondary special | Married | House / apartment | 0.020713 | 19727.0 | 4411.0 | 6225.0 | 3199.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | Managers | 2.0 | 3 | 3 | THURSDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Government | 0.589187 | 0.466864 | 0.0 | 0.0 | 0.0 | 0.0 | -784.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | LOW | VHIGH | SENIORS |
| 49 | 100056 | 0 | Cash loans | M | Y | Y | 0 | 360000.000 | 1506816.0 | 49927.5 | 1350000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.010006 | 18264.0 | 9523.0 | 5504.0 | 1797.0 | 3.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | THURSDAY | 10 | 0 | 0 | 0 | 0 | 1 | 1 | Transport: type 2 | 0.523934 | NaN | 1.0 | 1.0 | 1.0 | 1.0 | -1498.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | VHIGH | VHIGH | SENIORS |
| 50 | 100058 | 0 | Revolving loans | F | N | Y | 0 | 54000.000 | 135000.0 | 6750.0 | 135000.0 | Unaccompanied | State servant | Higher education | Married | House / apartment | 0.014520 | 12406.0 | 1176.0 | 1149.0 | 2576.0 | 0.0 | 1 | 1 | 0 | 0 | 0 | 0 | Core staff | 2.0 | 2 | 2 | THURSDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | School | 0.450850 | 0.479449 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VLOW | VLOW | MIDDLE-AGE |
| 51 | 100059 | 0 | Cash loans | M | Y | Y | 1 | 540000.000 | 675000.0 | 34596.0 | 675000.0 | Unaccompanied | Commercial associate | Higher education | Married | House / apartment | 0.026392 | 18632.0 | 6977.0 | 3904.0 | 1937.0 | 7.0 | 1 | 1 | 0 | 1 | 1 | 0 | Managers | 3.0 | 2 | 2 | TUESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Services | 0.713355 | 0.309275 | 2.0 | 0.0 | 2.0 | 0.0 | -1285.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 3.0 | VHIGH | HIGH | SENIORS |
| 52 | 100060 | 0 | Cash loans | M | Y | N | 0 | 76500.000 | 454500.0 | 14661.0 | 454500.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.028663 | 12282.0 | 778.0 | 1824.0 | 1992.0 | 13.0 | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Emergency | 0.705947 | 0.799297 | 4.0 | 0.0 | 4.0 | 0.0 | -466.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | VLOW | MEDIOCRE | MIDDLE-AGE |
| 53 | 100061 | 0 | Cash loans | F | N | Y | 2 | 225000.000 | 314055.0 | 16164.0 | 238500.0 | Unaccompanied | Commercial associate | Higher education | Married | House / apartment | 0.006629 | 10473.0 | 1392.0 | 2025.0 | 1240.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 4.0 | 2 | 2 | THURSDAY | 3 | 0 | 0 | 0 | 1 | 1 | 0 | Self-employed | 0.702979 | 0.701696 | 0.0 | 0.0 | 0.0 | 0.0 | -570.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 | HIGH | LOW | MIDDLE-AGE |
| 54 | 100062 | 0 | Cash loans | M | Y | N | 0 | 81000.000 | 675000.0 | 32472.0 | 675000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.010006 | 18611.0 | 365243.0 | 6936.0 | 2142.0 | 8.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.662865 | 0.738020 | 0.0 | 0.0 | 0.0 | 0.0 | -462.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | VLOW | HIGH | SENIORS |
| 55 | 100063 | 0 | Cash loans | F | N | Y | 0 | 180000.000 | 837427.5 | 45558.0 | 666000.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.022625 | 12955.0 | 4106.0 | 7054.0 | 5164.0 | 0.0 | 1 | 1 | 0 | 1 | 1 | 1 | Managers | 2.0 | 2 | 2 | MONDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Medicine | 0.616637 | 0.070109 | 1.0 | 1.0 | 1.0 | 1.0 | -1547.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 4.0 | HIGH | HIGH | MIDDLE-AGE |
| 56 | 100064 | 0 | Cash loans | F | N | N | 0 | 67500.000 | 298728.0 | 15381.0 | 202500.0 | Family | Pensioner | Secondary / secondary special | Single / not married | Municipal apartment | 0.019101 | 21621.0 | 365243.0 | 2019.0 | 1344.0 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | MONDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.622708 | 0.169429 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VLOW | LOW | SENIORS |
| 57 | 100068 | 0 | Revolving loans | M | N | Y | 0 | 81000.000 | 247500.0 | 12375.0 | 247500.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.031329 | 18248.0 | 2351.0 | 4375.0 | 1721.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | Security staff | 2.0 | 2 | 2 | WEDNESDAY | 14 | 0 | 0 | 0 | 0 | 1 | 1 | Security | 0.609135 | 0.513694 | 2.0 | 0.0 | 2.0 | 0.0 | -167.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VLOW | VLOW | SENIORS |
| 58 | 100069 | 0 | Cash loans | M | Y | Y | 1 | 360000.000 | 640458.0 | 27265.5 | 517500.0 | Unaccompanied | Working | Secondary / secondary special | Separated | House / apartment | 0.007330 | 14186.0 | 1743.0 | 2128.0 | 4982.0 | 10.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | MONDAY | 11 | 0 | 1 | 1 | 0 | 1 | 1 | Transport: type 4 | 0.256737 | 0.707699 | 0.0 | 0.0 | 0.0 | 0.0 | -112.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 3.0 | VHIGH | HIGH | MIDDLE-AGE |
| 59 | 100070 | 0 | Cash loans | M | Y | Y | 0 | 540000.000 | 1227901.5 | 46899.0 | 1129500.0 | Unaccompanied | Working | Higher education | Widow | House / apartment | 0.032561 | 20544.0 | 2091.0 | 6846.0 | 566.0 | 2.0 | 1 | 1 | 1 | 1 | 0 | 0 | Managers | 1.0 | 1 | 1 | TUESDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.653597 | 0.339288 | 0.0 | 0.0 | 0.0 | 0.0 | -1377.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VHIGH | VHIGH | SENIORS |
| 60 | 100071 | 0 | Cash loans | F | N | Y | 0 | 180000.000 | 1663987.5 | 86989.5 | 1588500.0 | Family | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.018801 | 20121.0 | 2446.0 | 6755.0 | 2177.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Accountants | 2.0 | 2 | 2 | MONDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Industry: type 11 | 0.570666 | 0.697147 | 0.0 | 0.0 | 0.0 | 0.0 | -1572.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 1.0 | HIGH | VHIGH | SENIORS |
| 61 | 100072 | 0 | Cash loans | M | N | N | 0 | 180000.000 | 1080000.0 | 44118.0 | 1080000.0 | Unaccompanied | Working | Incomplete higher | Single / not married | With parents | 0.010006 | 7907.0 | 1324.0 | 4557.0 | 586.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 1 | Sales staff | 1.0 | 2 | 1 | TUESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Trade: type 2 | 0.026541 | 0.434733 | 0.0 | 0.0 | 0.0 | 0.0 | -725.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | HIGH | VHIGH | TEENAGE |
| 62 | 100073 | 0 | Cash loans | M | Y | Y | 0 | 324000.000 | 1130760.0 | 40189.5 | 810000.0 | Unaccompanied | Pensioner | Higher education | Civil marriage | House / apartment | 0.018850 | 22843.0 | 365243.0 | 1042.0 | 3967.0 | 10.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.733051 | 0.234015 | 0.0 | 0.0 | 0.0 | 0.0 | -2385.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | VHIGH | VHIGH | SENIORS |
| 63 | 100075 | 0 | Cash loans | F | N | N | 0 | 112500.000 | 95940.0 | 10462.5 | 90000.0 | Family | Working | Higher education | Single / not married | House / apartment | 0.004960 | 12240.0 | 3720.0 | 5246.0 | 4541.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | MONDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | University | 0.664544 | 0.492060 | 0.0 | 0.0 | 0.0 | 0.0 | -280.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 | LOW | VLOW | MIDDLE-AGE |
| 64 | 100076 | 0 | Cash loans | M | Y | N | 0 | 180000.000 | 315000.0 | 9679.5 | 315000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.028663 | 13866.0 | 2546.0 | 5448.0 | 4097.0 | 1.0 | 1 | 1 | 0 | 1 | 0 | 0 | Drivers | 2.0 | 2 | 2 | MONDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Transport: type 3 | 0.584887 | 0.095070 | 0.0 | 0.0 | 0.0 | 0.0 | -3.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | HIGH | LOW | MIDDLE-AGE |
| 65 | 100077 | 0 | Cash loans | M | N | Y | 0 | 180000.000 | 1256400.0 | 40657.5 | 900000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Single / not married | House / apartment | 0.072508 | 12049.0 | 579.0 | 6105.0 | 1.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 1.0 | 1 | 1 | WEDNESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Police | 0.647348 | 0.562060 | 4.0 | 0.0 | 4.0 | 0.0 | -295.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 8.0 | HIGH | VHIGH | MIDDLE-AGE |
| 66 | 100078 | 0 | Cash loans | F | Y | Y | 0 | 180000.000 | 1035000.0 | 43983.0 | 1035000.0 | Unaccompanied | State servant | Higher education | Married | House / apartment | 0.028663 | 19550.0 | 4856.0 | 6836.0 | 3084.0 | 21.0 | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 2.0 | 2 | 2 | TUESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Government | 0.517270 | 0.429424 | 0.0 | 0.0 | 0.0 | 0.0 | -1594.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | HIGH | VHIGH | SENIORS |
| 67 | 100079 | 0 | Revolving loans | M | N | Y | 0 | 225000.000 | 270000.0 | 13500.0 | 270000.0 | Unaccompanied | Working | Secondary / secondary special | Separated | Municipal apartment | 0.007330 | 15359.0 | 114.0 | 5076.0 | 2922.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 1.0 | 2 | 2 | THURSDAY | 9 | 0 | 0 | 0 | 0 | 1 | 1 | Construction | 0.561923 | 0.413597 | 0.0 | 0.0 | 0.0 | 0.0 | -662.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | HIGH | LOW | MIDDLE-AGE |
| 68 | 100080 | 0 | Revolving loans | F | N | N | 1 | 157500.000 | 450000.0 | 22500.0 | 450000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Civil marriage | House / apartment | 0.010966 | 11956.0 | 3154.0 | 8118.0 | 4143.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 3.0 | 2 | 2 | SUNDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Kindergarten | 0.123888 | 0.832785 | NaN | NaN | NaN | NaN | -1711.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 | MEDIOCRE | MEDIOCRE | MIDDLE-AGE |
| 69 | 100081 | 0 | Cash loans | M | Y | N | 0 | 180000.000 | 450000.0 | 21109.5 | 450000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Civil marriage | House / apartment | 0.014520 | 10848.0 | 121.0 | 4809.0 | 3494.0 | 20.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | SATURDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.645438 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -2519.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | HIGH | MEDIOCRE | MIDDLE-AGE |
| 70 | 100082 | 0 | Cash loans | M | N | N | 2 | 180000.000 | 450000.0 | 21109.5 | 450000.0 | Unaccompanied | Commercial associate | Higher education | Married | House / apartment | 0.018850 | 12009.0 | 2844.0 | 1377.0 | 3656.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 4.0 | 2 | 2 | MONDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.686505 | 0.394495 | 0.0 | 0.0 | 0.0 | 0.0 | -1003.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 | HIGH | MEDIOCRE | MIDDLE-AGE |
| 71 | 100083 | 0 | Cash loans | M | Y | Y | 0 | 103500.000 | 573628.5 | 24435.0 | 463500.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.009657 | 15406.0 | 892.0 | 341.0 | 4176.0 | 22.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | MONDAY | 18 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.707126 | 0.597192 | 2.0 | 1.0 | 2.0 | 1.0 | -2053.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | LOW | MEDIOCRE | MIDDLE-AGE |
| 72 | 100084 | 0 | Cash loans | M | N | Y | 2 | 225000.000 | 495351.0 | 26140.5 | 459000.0 | Unaccompanied | Working | Secondary / secondary special | Separated | House / apartment | 0.024610 | 14860.0 | 1156.0 | 23.0 | 1072.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 3.0 | 2 | 2 | FRIDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.570527 | 0.694093 | 1.0 | 0.0 | 1.0 | 0.0 | -1475.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | HIGH | MEDIOCRE | MIDDLE-AGE |
| 73 | 100085 | 0 | Cash loans | M | N | Y | 1 | 157500.000 | 755190.0 | 28894.5 | 675000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.016612 | 11187.0 | 2224.0 | 3253.0 | 3723.0 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | Drivers | 3.0 | 2 | 2 | WEDNESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 1 | 0.368719 | 0.358951 | 7.0 | 0.0 | 7.0 | 0.0 | -1175.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | MEDIOCRE | HIGH | MIDDLE-AGE |
| 74 | 100086 | 0 | Cash loans | F | N | Y | 1 | 135000.000 | 675000.0 | 21775.5 | 675000.0 | Unaccompanied | Commercial associate | Higher education | Widow | House / apartment | 0.019101 | 14264.0 | 2492.0 | 4327.0 | 4517.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | THURSDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.569873 | 0.198620 | 0.0 | 0.0 | 0.0 | 0.0 | -1597.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 | 2.0 | LOW | HIGH | MIDDLE-AGE |
| 75 | 100087 | 0 | Cash loans | F | N | Y | 1 | 202500.000 | 1288350.0 | 37800.0 | 1125000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.003069 | 17542.0 | 2011.0 | 1529.0 | 988.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Cooking staff | 3.0 | 3 | 3 | FRIDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.572064 | 0.191822 | 2.0 | 1.0 | 2.0 | 1.0 | -1230.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | HIGH | VHIGH | SENIORS |
| 76 | 100088 | 0 | Revolving loans | F | N | N | 0 | 112500.000 | 135000.0 | 6750.0 | 135000.0 | Unaccompanied | Commercial associate | Higher education | Married | House / apartment | 0.022800 | 19467.0 | 4066.0 | 4623.0 | 2975.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | School | 0.585174 | 0.408359 | 0.0 | 0.0 | 0.0 | 0.0 | -1537.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | LOW | VLOW | SENIORS |
| 77 | 100089 | 0 | Cash loans | M | N | Y | 0 | 135000.000 | 337761.0 | 15781.5 | 256500.0 | Unaccompanied | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.025164 | 9666.0 | 2811.0 | 4437.0 | 2342.0 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | Laborers | 2.0 | 2 | 2 | TUESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.550058 | 0.535276 | 2.0 | 0.0 | 2.0 | 0.0 | -92.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | LOW | LOW | MIDDLE-AGE |
| 78 | 100093 | 0 | Cash loans | F | N | Y | 1 | 94500.000 | 585000.0 | 28273.5 | 585000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.028663 | 18253.0 | 721.0 | 1701.0 | 1779.0 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | Core staff | 3.0 | 2 | 2 | TUESDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Postal | 0.488600 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | VLOW | MEDIOCRE | SENIORS |
| 79 | 100094 | 0 | Cash loans | F | N | Y | 0 | 108000.000 | 113760.0 | 5301.0 | 90000.0 | Unaccompanied | Pensioner | Higher education | Single / not married | House / apartment | 0.030755 | 22935.0 | 365243.0 | 12623.0 | 3442.0 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | THURSDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.582735 | 0.452534 | 3.0 | 0.0 | 3.0 | 0.0 | -260.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | LOW | VLOW | SENIORS |
| 80 | 100095 | 0 | Revolving loans | F | N | Y | 2 | 67500.000 | 135000.0 | 6750.0 | 135000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.020246 | 18693.0 | 1434.0 | 10255.0 | 2241.0 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | Sales staff | 4.0 | 3 | 3 | THURSDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Trade: type 7 | 0.304506 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1040.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | VLOW | VLOW | SENIORS |
| 82 | 100097 | 0 | Cash loans | M | Y | Y | 0 | 157500.000 | 760225.5 | 30280.5 | 679500.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.035792 | 17527.0 | 2442.0 | 3500.0 | 983.0 | 20.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 10 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | 0.357342 | 0.644679 | 6.0 | 0.0 | 6.0 | 0.0 | -371.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | MEDIOCRE | HIGH | SENIORS |
| 83 | 100098 | 0 | Revolving loans | M | Y | N | 0 | 225000.000 | 270000.0 | 13500.0 | 270000.0 | Unaccompanied | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.018850 | 17390.0 | 924.0 | 7211.0 | 907.0 | 1.0 | 1 | 1 | 0 | 1 | 0 | 0 | Drivers | 2.0 | 2 | 2 | WEDNESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Transport: type 3 | 0.597081 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -617.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | HIGH | LOW | SENIORS |
| 84 | 100099 | 0 | Cash loans | F | N | Y | 0 | 360000.000 | 733315.5 | 41076.0 | 679500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Separated | House / apartment | 0.009175 | 23032.0 | 365243.0 | 9506.0 | 793.0 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | THURSDAY | 12 | 1 | 0 | 0 | 0 | 0 | 0 | XNA | 0.660579 | 0.342529 | 4.0 | 0.0 | 4.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | VHIGH | HIGH | SENIORS |
| 85 | 100100 | 0 | Cash loans | M | Y | Y | 2 | 202500.000 | 796396.5 | 38443.5 | 643500.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.008019 | 15909.0 | 1094.0 | 3134.0 | 4180.0 | 65.0 | 1 | 1 | 0 | 1 | 0 | 1 | Managers | 4.0 | 2 | 2 | FRIDAY | 17 | 0 | 0 | 0 | 0 | 1 | 1 | Industry: type 11 | 0.495765 | 0.824595 | 0.0 | 0.0 | 0.0 | 0.0 | -1876.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | HIGH | HIGH | MIDDLE-AGE |
| 86 | 100101 | 0 | Cash loans | F | Y | Y | 0 | 202500.000 | 343377.0 | 22072.5 | 283500.0 | Unaccompanied | State servant | Higher education | Single / not married | House / apartment | 0.072508 | 18138.0 | 969.0 | 7421.0 | 1681.0 | 5.0 | 1 | 1 | 0 | 1 | 0 | 0 | High skill tech staff | 1.0 | 1 | 1 | WEDNESDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 1 | 0.716212 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1585.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | HIGH | LOW | SENIORS |
| 87 | 100102 | 0 | Cash loans | F | N | N | 1 | 126000.000 | 327024.0 | 10264.5 | 270000.0 | Unaccompanied | Working | Secondary / secondary special | Single / not married | House / apartment | 0.024610 | 14321.0 | 192.0 | 6913.0 | 5942.0 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | Laborers | 2.0 | 2 | 2 | SUNDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Transport: type 4 | 0.661108 | 0.477649 | 1.0 | 0.0 | 1.0 | 0.0 | -2.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 6.0 | 0.0 | 0.0 | LOW | LOW | MIDDLE-AGE |
| 88 | 100103 | 0 | Cash loans | F | N | Y | 0 | 72000.000 | 450000.0 | 16965.0 | 450000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.009175 | 21112.0 | 1694.0 | 6057.0 | 4013.0 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | School | 0.718058 | 0.511892 | 4.0 | 0.0 | 4.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VLOW | MEDIOCRE | SENIORS |
| 89 | 100104 | 0 | Cash loans | F | N | Y | 0 | 90000.000 | 547344.0 | 30690.0 | 472500.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.022625 | 18556.0 | 862.0 | 6769.0 | 2045.0 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | Waiters/barmen staff | 2.0 | 2 | 2 | WEDNESDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.644627 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -2591.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | VLOW | MEDIOCRE | SENIORS |
| 90 | 100105 | 0 | Cash loans | F | N | Y | 0 | 193500.000 | 225000.0 | 23755.5 | 225000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.031329 | 19810.0 | 8862.0 | 4493.0 | 3043.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | Managers | 2.0 | 2 | 2 | TUESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Government | 0.254760 | 0.411849 | 0.0 | 0.0 | 0.0 | 0.0 | -1733.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 4.0 | HIGH | VLOW | SENIORS |
| 91 | 100108 | 0 | Cash loans | F | N | Y | 3 | 171000.000 | 545040.0 | 31288.5 | 450000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.006629 | 12780.0 | 1415.0 | 5146.0 | 870.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | Sales staff | 5.0 | 2 | 2 | WEDNESDAY | 11 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | 0.756668 | 0.641368 | 3.0 | 0.0 | 3.0 | 0.0 | -546.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | HIGH | MEDIOCRE | MIDDLE-AGE |
| 92 | 100110 | 0 | Cash loans | M | Y | Y | 3 | 135000.000 | 373140.0 | 25065.0 | 337500.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.035792 | 10744.0 | 741.0 | 442.0 | 2381.0 | 21.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 5.0 | 2 | 2 | WEDNESDAY | 9 | 0 | 0 | 0 | 0 | 1 | 1 | Housing | 0.640549 | 0.328063 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | LOW | LOW | MIDDLE-AGE |
| 93 | 100111 | 0 | Cash loans | F | Y | N | 1 | 112500.000 | 862560.0 | 27954.0 | 720000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | With parents | 0.022800 | 10485.0 | 1249.0 | 4628.0 | 3110.0 | 17.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 3.0 | 2 | 2 | MONDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.608604 | 0.228883 | 1.0 | 0.0 | 1.0 | 0.0 | -1234.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | LOW | HIGH | MIDDLE-AGE |
| 95 | 100113 | 0 | Cash loans | M | Y | N | 0 | 76500.000 | 135000.0 | 6696.0 | 135000.0 | Unaccompanied | Working | Secondary / secondary special | Single / not married | House / apartment | 0.028663 | 15137.0 | 7980.0 | 9176.0 | 4576.0 | 11.0 | 1 | 1 | 1 | 1 | 0 | 0 | Low-skill Laborers | 1.0 | 2 | 2 | MONDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Agriculture | 0.593019 | 0.789880 | 0.0 | 0.0 | 0.0 | 0.0 | -1981.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | VLOW | VLOW | MIDDLE-AGE |
| 96 | 100114 | 0 | Cash loans | F | N | Y | 0 | 135000.000 | 284400.0 | 22599.0 | 225000.0 | Unaccompanied | Commercial associate | Higher education | Single / not married | House / apartment | 0.030755 | 10734.0 | 693.0 | 7913.0 | 1362.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 1.0 | 2 | 2 | MONDAY | 14 | 0 | 0 | 0 | 1 | 1 | 0 | Restaurant | 0.154937 | 0.265049 | 0.0 | 0.0 | 0.0 | 0.0 | -227.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | LOW | LOW | MIDDLE-AGE |
| 97 | 100115 | 0 | Cash loans | F | N | N | 0 | 90000.000 | 315000.0 | 14683.5 | 315000.0 | Spouse, partner | Working | Secondary / secondary special | Married | House / apartment | 0.028663 | 15371.0 | 367.0 | 3071.0 | 4211.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | SUNDAY | 11 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | 0.334300 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -40.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 2.0 | VLOW | LOW | MIDDLE-AGE |
| 98 | 100116 | 0 | Cash loans | F | N | Y | 0 | 243000.000 | 900000.0 | 32017.5 | 900000.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.010006 | 14751.0 | 6737.0 | 3390.0 | 4788.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 1 | Core staff | 2.0 | 2 | 1 | THURSDAY | 11 | 0 | 0 | 0 | 0 | 1 | 1 | Kindergarten | 0.700274 | 0.071055 | 2.0 | 0.0 | 2.0 | 0.0 | -1083.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VHIGH | HIGH | MIDDLE-AGE |
| 99 | 100118 | 0 | Cash loans | F | N | Y | 0 | 90000.000 | 675000.0 | 26541.0 | 675000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.026392 | 22471.0 | 365243.0 | 217.0 | 4323.0 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | TUESDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.626303 | NaN | 3.0 | 2.0 | 3.0 | 1.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | VLOW | HIGH | SENIORS |
| 100 | 100119 | 0 | Revolving loans | F | N | Y | 0 | 54000.000 | 180000.0 | 9000.0 | 180000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.015221 | 11142.0 | 2419.0 | 4987.0 | 467.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Medicine staff | 2.0 | 2 | 2 | SATURDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Medicine | 0.500264 | 0.077499 | 0.0 | 0.0 | 0.0 | 0.0 | -149.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VLOW | VLOW | MIDDLE-AGE |
| 101 | 100120 | 0 | Cash loans | F | N | N | 0 | 135000.000 | 781920.0 | 28215.0 | 675000.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.019689 | 9650.0 | 2953.0 | 4329.0 | 367.0 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | Core staff | 2.0 | 2 | 2 | FRIDAY | 15 | 0 | 0 | 0 | 0 | 1 | 1 | Government | 0.169953 | 0.121408 | 1.0 | 0.0 | 1.0 | 0.0 | -17.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | LOW | HIGH | MIDDLE-AGE |
| 102 | 100121 | 0 | Cash loans | M | N | Y | 0 | 126000.000 | 787131.0 | 26145.0 | 679500.0 | Unaccompanied | Working | Secondary / secondary special | Married | With parents | 0.018209 | 16798.0 | 669.0 | 9388.0 | 347.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | Low-skill Laborers | 2.0 | 3 | 3 | FRIDAY | 7 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | 0.586150 | 0.581484 | 5.0 | 2.0 | 5.0 | 2.0 | -319.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | LOW | HIGH | SENIORS |
| 103 | 100122 | 0 | Cash loans | F | N | N | 1 | 76500.000 | 808650.0 | 26217.0 | 675000.0 | Unaccompanied | Commercial associate | Higher education | Married | With parents | 0.022800 | 10954.0 | 2469.0 | 550.0 | 596.0 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | Core staff | 3.0 | 2 | 2 | TUESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.047291 | 0.406617 | 5.0 | 1.0 | 5.0 | 1.0 | -663.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VLOW | HIGH | MIDDLE-AGE |
| 104 | 100123 | 0 | Cash loans | F | N | N | 0 | 103500.000 | 675000.0 | 19737.0 | 675000.0 | Unaccompanied | Working | Secondary / secondary special | Widow | House / apartment | 0.020246 | 23719.0 | 8466.0 | 3917.0 | 4036.0 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | Security staff | 1.0 | 3 | 3 | SATURDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Medicine | 0.399366 | 0.673830 | 0.0 | 0.0 | 0.0 | 0.0 | -1689.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | LOW | HIGH | SENIORS |
| 105 | 100124 | 0 | Cash loans | M | N | Y | 0 | 225000.000 | 448272.0 | 28647.0 | 396000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.072508 | 24051.0 | 365243.0 | 7040.0 | 4053.0 | 0.0 | 1 | 0 | 0 | 1 | 1 | 1 | NaN | 1.0 | 1 | 1 | WEDNESDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.710318 | 0.554947 | 0.0 | 0.0 | 0.0 | 0.0 | -1080.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 8.0 | HIGH | MEDIOCRE | SENIORS |
| 106 | 100125 | 0 | Cash loans | F | N | N | 0 | 126000.000 | 263686.5 | 26208.0 | 238500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.009549 | 21613.0 | 365243.0 | 2376.0 | 2434.0 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | MONDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.571331 | 0.554947 | 0.0 | 0.0 | 0.0 | 0.0 | -1165.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | LOW | LOW | SENIORS |
| 107 | 100126 | 0 | Revolving loans | M | N | Y | 2 | 135000.000 | 180000.0 | 9000.0 | 180000.0 | Family | Working | Secondary / secondary special | Married | House / apartment | 0.046220 | 12900.0 | 782.0 | 2124.0 | 3888.0 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 4.0 | 1 | 1 | FRIDAY | 21 | 0 | 0 | 0 | 0 | 1 | 1 | Transport: type 4 | 0.705093 | 0.574447 | 1.0 | 1.0 | 1.0 | 1.0 | -1091.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | LOW | VLOW | MIDDLE-AGE |
| 108 | 100127 | 0 | Cash loans | M | N | Y | 0 | 112500.000 | 52128.0 | 5341.5 | 45000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.024610 | 21341.0 | 365243.0 | 10150.0 | 1403.0 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 7 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.687003 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -2279.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | LOW | VLOW | SENIORS |
| 109 | 100129 | 0 | Revolving loans | F | Y | Y | 1 | 85500.000 | 135000.0 | 6750.0 | 135000.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.018029 | 9415.0 | 225.0 | 4066.0 | 2104.0 | 5.0 | 1 | 1 | 0 | 0 | 0 | 0 | NaN | 3.0 | 3 | 2 | MONDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 1 | 0.610207 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VLOW | VLOW | MIDDLE-AGE |
| 111 | 100131 | 0 | Cash loans | F | N | Y | 0 | 270000.000 | 891072.0 | 45625.5 | 720000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Single / not married | House / apartment | 0.072508 | 13830.0 | 1169.0 | 7953.0 | 4802.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Realty agents | 1.0 | 1 | 1 | THURSDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.707972 | 0.452534 | 2.0 | 1.0 | 2.0 | 1.0 | -734.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | VHIGH | HIGH | MIDDLE-AGE |
| 112 | 100132 | 0 | Cash loans | F | N | Y | 0 | 202500.000 | 1136439.0 | 73611.0 | 1089000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Widow | House / apartment | 0.032561 | 23656.0 | 968.0 | 14666.0 | 4456.0 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | Cleaning staff | 1.0 | 1 | 1 | TUESDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | 0.711289 | 0.597192 | 0.0 | 0.0 | 0.0 | 0.0 | -905.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | HIGH | VHIGH | SENIORS |
| 113 | 100133 | 0 | Cash loans | F | N | N | 0 | 67500.000 | 384048.0 | 18810.0 | 270000.0 | Unaccompanied | Working | Secondary / secondary special | Civil marriage | With parents | 0.002134 | 9207.0 | 1043.0 | 4069.0 | 1882.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 2.0 | 3 | 3 | WEDNESDAY | 10 | 0 | 0 | 0 | 0 | 1 | 1 | Government | 0.316755 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -591.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | VLOW | LOW | MIDDLE-AGE |
| 114 | 100134 | 0 | Revolving loans | F | N | N | 0 | 202500.000 | 180000.0 | 9000.0 | 180000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.018634 | 10085.0 | 465.0 | 9649.0 | 1666.0 | 0.0 | 1 | 1 | 0 | 0 | 0 | 0 | Secretaries | 2.0 | 2 | 2 | MONDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Medicine | 0.749241 | 0.694093 | 4.0 | 0.0 | 4.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | HIGH | VLOW | MIDDLE-AGE |
| 115 | 100135 | 0 | Cash loans | M | N | Y | 0 | 135000.000 | 391194.0 | 26271.0 | 319500.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.007330 | 19829.0 | 215.0 | 4730.0 | 3368.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | SATURDAY | 10 | 1 | 1 | 0 | 1 | 1 | 0 | Business Entity Type 3 | 0.720640 | 0.320163 | 0.0 | 0.0 | 0.0 | 0.0 | -1209.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 | LOW | LOW | SENIORS |
| 116 | 100136 | 0 | Cash loans | M | Y | N | 1 | 157500.000 | 1571931.0 | 49356.0 | 1435500.0 | Unaccompanied | State servant | Secondary / secondary special | Married | House / apartment | 0.046220 | 15949.0 | 239.0 | 1146.0 | 4321.0 | 9.0 | 1 | 1 | 0 | 1 | 1 | 1 | Laborers | 3.0 | 1 | 1 | SUNDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.682017 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -2397.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | MEDIOCRE | VHIGH | MIDDLE-AGE |
| 117 | 100137 | 0 | Cash loans | F | Y | Y | 0 | 225000.000 | 891072.0 | 45625.5 | 720000.0 | Family | Pensioner | Secondary / secondary special | Married | House / apartment | 0.020246 | 20284.0 | 365243.0 | 1990.0 | 2556.0 | 2.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 3 | FRIDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.086719 | NaN | 12.0 | 0.0 | 12.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | HIGH | HIGH | SENIORS |
| 118 | 100138 | 0 | Cash loans | M | Y | N | 0 | 135000.000 | 824823.0 | 29223.0 | 688500.0 | Unaccompanied | Pensioner | Higher education | Married | House / apartment | 0.046220 | 14339.0 | 365243.0 | 1104.0 | 4620.0 | 5.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 1 | 1 | TUESDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.607562 | 0.572683 | 0.0 | 0.0 | 0.0 | 0.0 | -242.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | LOW | HIGH | MIDDLE-AGE |
| 119 | 100139 | 0 | Cash loans | F | N | N | 1 | 157500.000 | 302341.5 | 24016.5 | 261000.0 | Family | Working | Secondary / secondary special | Married | House / apartment | 0.010276 | 13286.0 | 2305.0 | 6685.0 | 4955.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 1 | NaN | 3.0 | 2 | 2 | WEDNESDAY | 10 | 0 | 0 | 0 | 1 | 1 | 0 | Business Entity Type 3 | 0.601408 | 0.096319 | 6.0 | 0.0 | 6.0 | 0.0 | -1868.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 3.0 | MEDIOCRE | LOW | MIDDLE-AGE |
| 120 | 100140 | 0 | Revolving loans | F | N | N | 0 | 157500.000 | 675000.0 | 33750.0 | 675000.0 | Unaccompanied | Commercial associate | Higher education | Married | House / apartment | 0.030755 | 9223.0 | 802.0 | 4067.0 | 505.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | High skill tech staff | 2.0 | 2 | 2 | FRIDAY | 9 | 0 | 0 | 0 | 1 | 1 | 0 | Business Entity Type 3 | 0.715861 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -120.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | MEDIOCRE | HIGH | MIDDLE-AGE |
| 121 | 100142 | 0 | Cash loans | M | Y | Y | 1 | 360000.000 | 579195.0 | 27994.5 | 468000.0 | Spouse, partner | State servant | Higher education | Civil marriage | House / apartment | 0.018801 | 13379.0 | 5387.0 | 6869.0 | 4540.0 | 7.0 | 1 | 1 | 0 | 1 | 0 | 0 | High skill tech staff | 3.0 | 2 | 2 | FRIDAY | 11 | 0 | 0 | 0 | 0 | 1 | 1 | Transport: type 2 | 0.064858 | 0.309275 | 2.0 | 0.0 | 1.0 | 0.0 | -1759.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VHIGH | MEDIOCRE | MIDDLE-AGE |
| 122 | 100143 | 0 | Revolving loans | M | N | Y | 0 | 162000.000 | 270000.0 | 13500.0 | 270000.0 | Unaccompanied | State servant | Higher education | Married | House / apartment | 0.035792 | 22881.0 | 3420.0 | 1481.0 | 4802.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 2.0 | 2 | 2 | TUESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Government | 0.678125 | 0.683269 | 0.0 | 0.0 | 0.0 | 0.0 | -1499.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | MEDIOCRE | LOW | SENIORS |
| 123 | 100144 | 0 | Cash loans | F | N | N | 0 | 112500.000 | 535500.0 | 30028.5 | 535500.0 | Unaccompanied | Working | Secondary / secondary special | Separated | House / apartment | 0.028663 | 16759.0 | 4560.0 | 3079.0 | 296.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 1.0 | 2 | 2 | THURSDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.611637 | NaN | 9.0 | 2.0 | 9.0 | 0.0 | -1282.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | LOW | MEDIOCRE | SENIORS |
| 124 | 100145 | 0 | Cash loans | F | Y | Y | 1 | 202500.000 | 260725.5 | 16789.5 | 198000.0 | Family | Working | Secondary / secondary special | Separated | House / apartment | 0.018850 | 16282.0 | 4375.0 | 762.0 | 1494.0 | 8.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | TUESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.746486 | 0.739412 | 6.0 | 0.0 | 6.0 | 0.0 | -1782.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | HIGH | LOW | MIDDLE-AGE |
| 125 | 100146 | 0 | Cash loans | M | Y | Y | 0 | 117000.000 | 327024.0 | 12456.0 | 270000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.007330 | 22959.0 | 365243.0 | 1730.0 | 4047.0 | 13.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.282326 | 0.755740 | 2.0 | 0.0 | 2.0 | 0.0 | -909.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | LOW | LOW | SENIORS |
| 126 | 100147 | 0 | Cash loans | F | N | Y | 1 | 135000.000 | 518562.0 | 22099.5 | 463500.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.003813 | 16142.0 | 2832.0 | 3440.0 | 3970.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 3.0 | 2 | 2 | SUNDAY | 7 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.410907 | 0.738020 | 1.0 | 0.0 | 1.0 | 0.0 | -1198.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 | LOW | MEDIOCRE | MIDDLE-AGE |
| 127 | 100148 | 0 | Cash loans | F | N | Y | 0 | 247500.000 | 755190.0 | 36459.0 | 675000.0 | Family | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.008575 | 16340.0 | 8647.0 | 4182.0 | 4259.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Medicine staff | 2.0 | 2 | 2 | MONDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.660559 | 0.211551 | 0.0 | 0.0 | 0.0 | 0.0 | -2415.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VHIGH | HIGH | MIDDLE-AGE |
| 128 | 100149 | 0 | Cash loans | M | Y | N | 0 | 171000.000 | 539590.5 | 26374.5 | 445500.0 | Family | Working | Secondary / secondary special | Married | House / apartment | 0.030755 | 9203.0 | 481.0 | 1642.0 | 1639.0 | 4.0 | 1 | 1 | 0 | 1 | 0 | 0 | Low-skill Laborers | 2.0 | 2 | 2 | TUESDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.164463 | 0.092013 | 1.0 | 0.0 | 1.0 | 0.0 | -395.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | HIGH | MEDIOCRE | MIDDLE-AGE |
| 129 | 100151 | 0 | Cash loans | M | N | N | 0 | 135000.000 | 182016.0 | 11772.0 | 144000.0 | Unaccompanied | Commercial associate | Higher education | Single / not married | House / apartment | 0.019101 | 16522.0 | 1451.0 | 4101.0 | 66.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Accountants | 1.0 | 2 | 2 | MONDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.695219 | 0.729567 | 0.0 | 0.0 | 0.0 | 0.0 | -398.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | LOW | VLOW | SENIORS |
| 130 | 100152 | 0 | Cash loans | F | N | Y | 0 | 157500.000 | 254412.0 | 9720.0 | 166500.0 | Unaccompanied | Working | Secondary / secondary special | Married | Municipal apartment | 0.010032 | 16083.0 | 2764.0 | 7358.0 | 4654.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 2.0 | 2 | 2 | WEDNESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.165442 | 0.749022 | 0.0 | 0.0 | 0.0 | 0.0 | -1761.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 | MEDIOCRE | VLOW | MIDDLE-AGE |
| 131 | 100153 | 0 | Cash loans | M | Y | Y | 0 | 202500.000 | 1107981.0 | 32526.0 | 967500.0 | Family | Working | Secondary / secondary special | Married | House / apartment | 0.031329 | 18413.0 | 1895.0 | 10826.0 | 1947.0 | 15.0 | 1 | 1 | 0 | 1 | 0 | 0 | Drivers | 2.0 | 2 | 2 | SATURDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Construction | 0.668020 | 0.353988 | 0.0 | 0.0 | 0.0 | 0.0 | -1192.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 | HIGH | VHIGH | SENIORS |
| 132 | 100154 | 0 | Revolving loans | M | N | N | 0 | 144000.000 | 180000.0 | 9000.0 | 180000.0 | Spouse, partner | Working | Secondary / secondary special | Married | House / apartment | 0.030755 | 12157.0 | 2995.0 | 4055.0 | 267.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Drivers | 2.0 | 2 | 2 | THURSDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.494962 | 0.738020 | 0.0 | 0.0 | 0.0 | 0.0 | -329.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | MEDIOCRE | VLOW | MIDDLE-AGE |
| 133 | 100155 | 0 | Cash loans | M | N | N | 0 | 157500.000 | 675000.0 | 21906.0 | 675000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.015221 | 11944.0 | 2899.0 | 5812.0 | 2722.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 2.0 | 2 | 2 | THURSDAY | 11 | 0 | 1 | 1 | 0 | 1 | 1 | Construction | 0.282078 | 0.565608 | 0.0 | 0.0 | 0.0 | 0.0 | -524.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | MEDIOCRE | HIGH | MIDDLE-AGE |
| 134 | 100156 | 0 | Cash loans | F | Y | N | 2 | 157500.000 | 945000.0 | 39127.5 | 945000.0 | Family | Commercial associate | Secondary / secondary special | Married | With parents | 0.018209 | 14235.0 | 5411.0 | 2248.0 | 5376.0 | 65.0 | 1 | 1 | 0 | 1 | 0 | 0 | Medicine staff | 4.0 | 3 | 3 | THURSDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Medicine | 0.597823 | 0.746300 | 0.0 | 0.0 | 0.0 | 0.0 | -2703.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | MEDIOCRE | VHIGH | MIDDLE-AGE |
| 135 | 100157 | 0 | Cash loans | M | N | Y | 0 | 180000.000 | 1755000.0 | 61132.5 | 1755000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.014520 | 16086.0 | 1549.0 | 3174.0 | 4584.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | MONDAY | 7 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.147685 | 0.669057 | 3.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 | HIGH | VHIGH | MIDDLE-AGE |
| 136 | 100158 | 0 | Cash loans | M | N | N | 0 | 180000.000 | 590337.0 | 27486.0 | 477000.0 | Unaccompanied | Commercial associate | Incomplete higher | Married | House / apartment | 0.022800 | 12348.0 | 1821.0 | 1909.0 | 4800.0 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | Core staff | 2.0 | 2 | 2 | WEDNESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Culture | 0.683703 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -2041.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | HIGH | MEDIOCRE | MIDDLE-AGE |
| 137 | 100159 | 0 | Cash loans | F | N | Y | 0 | 225000.000 | 1515415.5 | 41800.5 | 1354500.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.003818 | 14645.0 | 4027.0 | 7154.0 | 1969.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | Sales staff | 2.0 | 2 | 2 | FRIDAY | 3 | 0 | 0 | 0 | 0 | 0 | 0 | Trade: type 7 | 0.571250 | 0.789880 | 2.0 | 0.0 | 2.0 | 0.0 | -700.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | HIGH | VHIGH | MIDDLE-AGE |
| 139 | 100161 | 0 | Cash loans | F | N | Y | 0 | 90000.000 | 370629.0 | 13972.5 | 306000.0 | Family | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.007120 | 16219.0 | 2599.0 | 9329.0 | 4325.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 2.0 | 2 | 2 | MONDAY | 9 | 0 | 0 | 0 | 0 | 1 | 1 | Self-employed | 0.265312 | 0.317032 | 0.0 | 0.0 | 0.0 | 0.0 | -306.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VLOW | LOW | MIDDLE-AGE |
| 140 | 100162 | 0 | Cash loans | F | N | Y | 0 | 112500.000 | 547344.0 | 18216.0 | 472500.0 | Family | Pensioner | Secondary / secondary special | Single / not married | House / apartment | 0.020246 | 21061.0 | 365243.0 | 5439.0 | 4488.0 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 3 | 3 | MONDAY | 6 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.598243 | 0.232725 | 1.0 | 1.0 | 1.0 | 1.0 | -1594.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | LOW | MEDIOCRE | SENIORS |
| 141 | 100163 | 0 | Cash loans | F | N | Y | 0 | 130500.000 | 550489.5 | 19773.0 | 454500.0 | Unaccompanied | Working | Higher education | Separated | House / apartment | 0.018209 | 19718.0 | 5717.0 | 8940.0 | 3200.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 1.0 | 3 | 3 | FRIDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.390993 | 0.095070 | 5.0 | 0.0 | 5.0 | 0.0 | -1691.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | LOW | MEDIOCRE | SENIORS |
| 142 | 100164 | 0 | Cash loans | F | Y | N | 1 | 450000.000 | 407434.5 | 43362.0 | 387000.0 | Unaccompanied | Commercial associate | Higher education | Civil marriage | House / apartment | 0.010500 | 16097.0 | 2630.0 | 110.0 | 3852.0 | 3.0 | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 3.0 | 3 | 3 | WEDNESDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.622030 | 0.328063 | 0.0 | 0.0 | 0.0 | 0.0 | -845.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VHIGH | LOW | MIDDLE-AGE |
| 143 | 100165 | 0 | Cash loans | F | Y | Y | 0 | 175500.000 | 1293502.5 | 35568.0 | 1129500.0 | Family | Pensioner | Secondary / secondary special | Married | House / apartment | 0.018850 | 21961.0 | 365243.0 | 8887.0 | 4379.0 | 9.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.646689 | 0.812823 | 0.0 | 0.0 | 0.0 | 0.0 | -396.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | HIGH | VHIGH | SENIORS |
| 144 | 100166 | 0 | Cash loans | F | N | Y | 3 | 58500.000 | 152820.0 | 15241.5 | 135000.0 | Unaccompanied | Working | Secondary / secondary special | Married | Municipal apartment | 0.025164 | 14359.0 | 1894.0 | 2908.0 | 4480.0 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | Core staff | 5.0 | 2 | 2 | FRIDAY | 8 | 0 | 0 | 0 | 0 | 1 | 1 | Government | 0.524818 | 0.156640 | 2.0 | 0.0 | 2.0 | 0.0 | -160.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | VLOW | VLOW | MIDDLE-AGE |
| 145 | 100167 | 0 | Cash loans | F | N | Y | 0 | 180000.000 | 427500.0 | 46170.0 | 427500.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Civil marriage | House / apartment | 0.026392 | 15127.0 | 1039.0 | 4221.0 | 652.0 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 16 | 0 | 0 | 0 | 0 | 1 | 1 | Hotel | 0.551308 | 0.161463 | 0.0 | 0.0 | 0.0 | 0.0 | -1914.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | HIGH | LOW | MIDDLE-AGE |
| 146 | 100173 | 0 | Cash loans | F | N | N | 0 | 117000.000 | 781920.0 | 26725.5 | 675000.0 | Unaccompanied | Working | Higher education | Single / not married | House / apartment | 0.024610 | 11633.0 | 2596.0 | 5430.0 | 3851.0 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | Core staff | 1.0 | 2 | 2 | TUESDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Government | 0.636395 | 0.452534 | 1.0 | 0.0 | 1.0 | 0.0 | -1166.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | LOW | HIGH | MIDDLE-AGE |
| 147 | 100174 | 0 | Revolving loans | F | N | Y | 2 | 180000.000 | 225000.0 | 11250.0 | 225000.0 | Spouse, partner | Working | Incomplete higher | Married | Municipal apartment | 0.032561 | 14597.0 | 1997.0 | 8491.0 | 3681.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | Sales staff | 4.0 | 1 | 1 | FRIDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.704793 | 0.565608 | 0.0 | 0.0 | 0.0 | 0.0 | -307.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | HIGH | VLOW | MIDDLE-AGE |
| 148 | 100175 | 0 | Cash loans | F | N | Y | 1 | 202500.000 | 1251072.0 | 45067.5 | 1080000.0 | Unaccompanied | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.010147 | 16296.0 | 266.0 | 164.0 | 4568.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 3.0 | 2 | 2 | TUESDAY | 19 | 0 | 0 | 0 | 0 | 0 | 0 | Industry: type 7 | 0.763649 | 0.329655 | 0.0 | 0.0 | 0.0 | 0.0 | -1683.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | HIGH | VHIGH | MIDDLE-AGE |
| 149 | 100176 | 0 | Cash loans | F | N | Y | 0 | 135000.000 | 1078200.0 | 31653.0 | 900000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.010006 | 17682.0 | 4319.0 | 2630.0 | 1211.0 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | Laborers | 2.0 | 2 | 2 | WEDNESDAY | 6 | 0 | 0 | 0 | 0 | 0 | 0 | Government | 0.585291 | 0.816092 | 1.0 | 0.0 | 1.0 | 0.0 | -131.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | LOW | VHIGH | SENIORS |
| 150 | 100177 | 0 | Cash loans | M | N | N | 1 | 112500.000 | 312682.5 | 33309.0 | 297000.0 | Family | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.010643 | 14311.0 | 334.0 | 8401.0 | 4248.0 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 3.0 | 2 | 2 | THURSDAY | 10 | 0 | 1 | 1 | 0 | 1 | 1 | Self-employed | 0.603655 | 0.595456 | 0.0 | 0.0 | 0.0 | 0.0 | -328.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | LOW | LOW | MIDDLE-AGE |
| 151 | 100178 | 0 | Cash loans | F | N | Y | 0 | 119250.000 | 679500.0 | 28917.0 | 679500.0 | Unaccompanied | Working | Higher education | Separated | House / apartment | 0.008866 | 19286.0 | 1485.0 | 7887.0 | 2835.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | MONDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.765125 | 0.417100 | 0.0 | 0.0 | 0.0 | 0.0 | -2085.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | LOW | HIGH | SENIORS |
| 152 | 100179 | 0 | Cash loans | F | Y | N | 0 | 202500.000 | 675000.0 | 53329.5 | 675000.0 | Unaccompanied | Commercial associate | Higher education | Married | House / apartment | 0.031329 | 11375.0 | 2311.0 | 180.0 | 2009.0 | 4.0 | 1 | 1 | 0 | 1 | 0 | 0 | Managers | 2.0 | 2 | 2 | MONDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Trade: type 7 | 0.616156 | 0.673830 | 0.0 | 0.0 | 0.0 | 0.0 | -1792.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 4.0 | HIGH | HIGH | MIDDLE-AGE |
| 153 | 100180 | 0 | Cash loans | F | N | Y | 1 | 315000.000 | 1288350.0 | 37800.0 | 1125000.0 | Unaccompanied | Commercial associate | Higher education | Married | House / apartment | 0.020713 | 15581.0 | 4940.0 | 9520.0 | 5239.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Accountants | 3.0 | 3 | 2 | FRIDAY | 15 | 0 | 0 | 0 | 0 | 1 | 1 | Transport: type 4 | 0.509852 | 0.675413 | 1.0 | 0.0 | 1.0 | 0.0 | -1020.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 3.0 | VHIGH | VHIGH | MIDDLE-AGE |
| 155 | 100182 | 0 | Revolving loans | F | N | Y | 1 | 112500.000 | 135000.0 | 6750.0 | 135000.0 | Unaccompanied | Working | Secondary / secondary special | Separated | House / apartment | 0.020246 | 13558.0 | 4758.0 | 6426.0 | 4360.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 2.0 | 3 | 3 | THURSDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Government | 0.751869 | 0.420611 | 0.0 | 0.0 | 0.0 | 0.0 | -1933.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | LOW | VLOW | MIDDLE-AGE |
| 156 | 100183 | 0 | Cash loans | F | N | Y | 0 | 103500.000 | 239850.0 | 23494.5 | 225000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Separated | House / apartment | 0.018634 | 24729.0 | 365243.0 | 4047.0 | 4523.0 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | THURSDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.600433 | 0.795803 | 0.0 | 0.0 | 0.0 | 0.0 | -1183.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | LOW | VLOW | SENIORS |
| 157 | 100185 | 0 | Cash loans | M | N | Y | 0 | 58500.000 | 187704.0 | 10903.5 | 148500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.018029 | 20215.0 | 365243.0 | 3508.0 | 3558.0 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 2 | SATURDAY | 7 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.557348 | 0.771362 | 1.0 | 0.0 | 1.0 | 0.0 | -1792.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 | VLOW | VLOW | SENIORS |
| 158 | 100186 | 0 | Cash loans | F | N | Y | 0 | 117000.000 | 269550.0 | 13095.0 | 225000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Single / not married | House / apartment | 0.007020 | 21861.0 | 365243.0 | 830.0 | 4830.0 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | TUESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.641304 | 0.519097 | 4.0 | 0.0 | 4.0 | 0.0 | -2025.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | LOW | LOW | SENIORS |
| 159 | 100188 | 0 | Cash loans | F | N | N | 1 | 225000.000 | 1325475.0 | 56290.5 | 1125000.0 | Unaccompanied | Working | Higher education | Married | Office apartment | 0.002506 | 15323.0 | 5785.0 | 5368.0 | 3602.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 3.0 | 2 | 2 | FRIDAY | 4 | 0 | 0 | 0 | 0 | 1 | 1 | School | 0.702463 | 0.546023 | 0.0 | 0.0 | 0.0 | 0.0 | -573.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | HIGH | VHIGH | MIDDLE-AGE |
| 160 | 100189 | 0 | Cash loans | F | N | Y | 0 | 135000.000 | 263844.0 | 14440.5 | 189000.0 | Unaccompanied | Working | Incomplete higher | Separated | House / apartment | 0.020713 | 16807.0 | 1094.0 | 8184.0 | 339.0 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | Sales staff | 1.0 | 3 | 2 | THURSDAY | 6 | 0 | 0 | 0 | 0 | 1 | 1 | Trade: type 7 | 0.010272 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -581.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | LOW | LOW | SENIORS |
| 161 | 100190 | 0 | Cash loans | M | Y | N | 0 | 162000.000 | 263686.5 | 24781.5 | 238500.0 | Unaccompanied | Commercial associate | Higher education | Married | House / apartment | 0.022625 | 13972.0 | 4472.0 | 464.0 | 4529.0 | 3.0 | 1 | 1 | 0 | 1 | 1 | 0 | Laborers | 2.0 | 2 | 2 | THURSDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Government | 0.585859 | 0.788681 | 5.0 | 0.0 | 5.0 | 0.0 | -1161.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | MEDIOCRE | LOW | MIDDLE-AGE |
| 162 | 100191 | 0 | Cash loans | F | N | Y | 0 | 112500.000 | 544491.0 | 17563.5 | 454500.0 | Unaccompanied | Working | Higher education | Separated | House / apartment | 0.030755 | 21819.0 | 8355.0 | 8440.0 | 4474.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | High skill tech staff | 1.0 | 2 | 2 | TUESDAY | 18 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | 0.688792 | 0.522697 | 0.0 | 0.0 | 0.0 | 0.0 | -2576.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | LOW | MEDIOCRE | SENIORS |
| 164 | 100193 | 0 | Cash loans | F | Y | N | 0 | 225000.000 | 296280.0 | 15124.5 | 225000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Separated | House / apartment | 0.020246 | 17879.0 | 940.0 | 2294.0 | 1441.0 | 15.0 | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 1.0 | 3 | 3 | SUNDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.748854 | 0.508287 | 1.0 | 0.0 | 1.0 | 0.0 | -2553.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 6.0 | HIGH | LOW | SENIORS |
| 165 | 100194 | 0 | Revolving loans | F | N | Y | 2 | 157500.000 | 315000.0 | 15750.0 | 315000.0 | Unaccompanied | Working | Higher education | Civil marriage | House / apartment | 0.020246 | 12805.0 | 5258.0 | 3262.0 | 3884.0 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | Laborers | 4.0 | 3 | 3 | WEDNESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Industry: type 3 | 0.111767 | 0.192942 | 0.0 | 0.0 | 0.0 | 0.0 | -215.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | MEDIOCRE | LOW | MIDDLE-AGE |
| 166 | 100195 | 0 | Cash loans | M | Y | Y | 0 | 90000.000 | 336150.0 | 9373.5 | 202500.0 | Unaccompanied | Commercial associate | Higher education | Single / not married | House / apartment | 0.030755 | 10887.0 | 341.0 | 5333.0 | 2828.0 | 8.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | FRIDAY | 12 | 0 | 0 | 0 | 0 | 1 | 1 | Trade: type 3 | 0.547773 | 0.749022 | 0.0 | 0.0 | 0.0 | 0.0 | -114.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | VLOW | LOW | MIDDLE-AGE |
| 167 | 100196 | 0 | Cash loans | F | Y | Y | 0 | 164250.000 | 755190.0 | 32125.5 | 675000.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.018029 | 11568.0 | 2331.0 | 1082.0 | 824.0 | 8.0 | 1 | 1 | 0 | 1 | 0 | 0 | Secretaries | 2.0 | 3 | 3 | TUESDAY | 7 | 0 | 0 | 0 | 0 | 0 | 0 | Construction | 0.593340 | 0.303146 | 0.0 | 0.0 | 0.0 | 0.0 | -1606.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 | HIGH | HIGH | MIDDLE-AGE |
| 168 | 100197 | 0 | Cash loans | F | N | N | 2 | 157500.000 | 497520.0 | 28692.0 | 450000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.003813 | 12019.0 | 1148.0 | 682.0 | 2588.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 4.0 | 2 | 2 | MONDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.472286 | NaN | 3.0 | 0.0 | 3.0 | 0.0 | -2575.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | MEDIOCRE | MEDIOCRE | MIDDLE-AGE |
| 169 | 100198 | 0 | Cash loans | M | Y | Y | 1 | 135000.000 | 531000.0 | 32616.0 | 531000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.028663 | 13116.0 | 1786.0 | 7237.0 | 3168.0 | 1.0 | 1 | 1 | 0 | 1 | 0 | 0 | Drivers | 3.0 | 2 | 2 | MONDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.748916 | 0.639708 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | LOW | MEDIOCRE | MIDDLE-AGE |
| 170 | 100199 | 0 | Cash loans | F | N | Y | 0 | 112500.000 | 269550.0 | 18891.0 | 225000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.022625 | 20858.0 | 472.0 | 8167.0 | 4411.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Cleaning staff | 2.0 | 2 | 2 | WEDNESDAY | 15 | 0 | 0 | 0 | 0 | 1 | 1 | Industry: type 3 | 0.704424 | 0.276441 | 0.0 | 0.0 | 0.0 | 0.0 | -738.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | LOW | LOW | SENIORS |
| 171 | 100200 | 0 | Cash loans | F | N | N | 0 | 216000.000 | 450000.0 | 27193.5 | 450000.0 | Unaccompanied | Working | Secondary / secondary special | Widow | House / apartment | 0.026392 | 16891.0 | 2730.0 | 7519.0 | 434.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | MONDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.640041 | 0.694093 | 4.0 | 0.0 | 3.0 | 0.0 | -332.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | HIGH | MEDIOCRE | SENIORS |
| 172 | 100201 | 0 | Cash loans | F | N | Y | 1 | 180000.000 | 675000.0 | 36747.0 | 675000.0 | Unaccompanied | Commercial associate | Higher education | Single / not married | House / apartment | 0.035792 | 12147.0 | 2178.0 | 6189.0 | 1719.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 2.0 | 2 | 2 | SATURDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Trade: type 2 | 0.601560 | 0.350696 | 10.0 | 0.0 | 10.0 | 0.0 | -1754.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 6.0 | HIGH | HIGH | MIDDLE-AGE |
| 173 | 100202 | 0 | Cash loans | F | N | N | 0 | 67500.000 | 127350.0 | 6597.0 | 112500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Single / not married | House / apartment | 0.019101 | 22994.0 | 365243.0 | 9705.0 | 4078.0 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | TUESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.121906 | 0.269286 | 2.0 | 0.0 | 2.0 | 0.0 | -632.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 5.0 | VLOW | VLOW | SENIORS |
| 174 | 100203 | 0 | Cash loans | F | N | N | 0 | 54000.000 | 119925.0 | 11097.0 | 112500.0 | Other_B | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.010276 | 25104.0 | 365243.0 | 4182.0 | 4210.0 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | TUESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.640514 | 0.544235 | 0.0 | 0.0 | 0.0 | 0.0 | -2.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VLOW | VLOW | SENIORS |
| 175 | 100204 | 0 | Cash loans | F | N | Y | 1 | 81000.000 | 532494.0 | 30699.0 | 454500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.009334 | 19525.0 | 365243.0 | 5077.0 | 1589.0 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 3.0 | 2 | 2 | WEDNESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.171535 | 0.540654 | 0.0 | 0.0 | 0.0 | 0.0 | -7.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | VLOW | MEDIOCRE | SENIORS |
| 176 | 100205 | 0 | Cash loans | F | N | Y | 0 | 63000.000 | 808650.0 | 26217.0 | 675000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.018209 | 18302.0 | 1373.0 | 10539.0 | 1210.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 3 | 3 | TUESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Housing | 0.046216 | 0.549597 | 0.0 | 0.0 | 0.0 | 0.0 | -1111.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VLOW | HIGH | SENIORS |
| 177 | 100206 | 0 | Cash loans | M | Y | N | 1 | 157500.000 | 318528.0 | 25294.5 | 252000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.022800 | 12027.0 | 1720.0 | 3867.0 | 4420.0 | 12.0 | 1 | 1 | 0 | 1 | 1 | 1 | Drivers | 3.0 | 2 | 2 | FRIDAY | 8 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | 0.164259 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | MEDIOCRE | LOW | MIDDLE-AGE |
| 178 | 100207 | 0 | Cash loans | F | N | Y | 0 | 157500.000 | 700830.0 | 22738.5 | 585000.0 | Spouse, partner | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.018850 | 16518.0 | 3592.0 | 3627.0 | 44.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Waiters/barmen staff | 2.0 | 2 | 2 | SATURDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Government | 0.671783 | 0.593718 | 0.0 | 0.0 | 0.0 | 0.0 | -2709.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | MEDIOCRE | HIGH | SENIORS |
| 179 | 100208 | 0 | Cash loans | M | N | N | 1 | 180000.000 | 888840.0 | 29016.0 | 675000.0 | Family | Commercial associate | Secondary / secondary special | Civil marriage | House / apartment | 0.007114 | 12648.0 | 2802.0 | 2109.0 | 4594.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 3.0 | 2 | 2 | FRIDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.634455 | 0.706205 | 0.0 | 0.0 | 0.0 | 0.0 | -1127.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 2.0 | HIGH | HIGH | MIDDLE-AGE |
| 181 | 100210 | 0 | Cash loans | F | N | Y | 1 | 202500.000 | 771493.5 | 25627.5 | 666000.0 | Unaccompanied | Working | Higher education | Separated | House / apartment | 0.005313 | 16475.0 | 17.0 | 1225.0 | 25.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 2.0 | 2 | 2 | MONDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | School | 0.621978 | 0.744932 | 0.0 | 0.0 | 0.0 | 0.0 | -1488.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | HIGH | HIGH | SENIORS |
| 182 | 100211 | 0 | Cash loans | M | N | N | 3 | 225000.000 | 746280.0 | 49873.5 | 675000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.006233 | 14033.0 | 328.0 | 544.0 | 554.0 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | Cooking staff | 5.0 | 2 | 2 | TUESDAY | 14 | 0 | 0 | 0 | 1 | 1 | 0 | Other | 0.575086 | 0.307737 | 0.0 | 0.0 | 0.0 | 0.0 | -534.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 | HIGH | HIGH | MIDDLE-AGE |
| 183 | 100213 | 0 | Cash loans | F | N | N | 2 | 49500.000 | 278460.0 | 19930.5 | 225000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.031329 | 13873.0 | 1282.0 | 632.0 | 5042.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 1 | Laborers | 4.0 | 2 | 2 | SUNDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Industry: type 3 | 0.495366 | 0.581484 | 0.0 | 0.0 | 0.0 | 0.0 | -2690.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | VLOW | LOW | MIDDLE-AGE |
| 185 | 100215 | 0 | Cash loans | F | Y | N | 0 | 90000.000 | 227520.0 | 8172.0 | 180000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Civil marriage | House / apartment | 0.025164 | 21703.0 | 365243.0 | 9849.0 | 4980.0 | 11.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.265312 | 0.641368 | 0.0 | 0.0 | 0.0 | 0.0 | -2028.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 5.0 | 0.0 | 5.0 | VLOW | VLOW | SENIORS |
| 186 | 100216 | 0 | Cash loans | F | N | N | 0 | 90000.000 | 67500.0 | 6705.0 | 67500.0 | Unaccompanied | Working | Secondary / secondary special | Married | Municipal apartment | 0.018209 | 19785.0 | 9919.0 | 9342.0 | 3310.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | Sales staff | 2.0 | 3 | 3 | TUESDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.709453 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -1.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VLOW | VLOW | SENIORS |
| 187 | 100217 | 0 | Cash loans | F | N | N | 0 | 180000.000 | 254700.0 | 25321.5 | 225000.0 | Family | Working | Secondary / secondary special | Separated | House / apartment | 0.004960 | 13620.0 | 1403.0 | 5451.0 | 4225.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 1 | Laborers | 1.0 | 2 | 2 | MONDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.391436 | 0.427657 | 1.0 | 0.0 | 1.0 | 0.0 | -252.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 | HIGH | VLOW | MIDDLE-AGE |
| 188 | 100218 | 0 | Cash loans | M | Y | Y | 0 | 337500.000 | 876078.0 | 49050.0 | 765000.0 | Unaccompanied | Commercial associate | Higher education | Single / not married | House / apartment | 0.072508 | 13210.0 | 225.0 | 7318.0 | 4397.0 | 3.0 | 1 | 1 | 0 | 1 | 0 | 0 | Drivers | 1.0 | 1 | 1 | SATURDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.749409 | 0.337673 | 0.0 | 0.0 | 0.0 | 0.0 | -382.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | VHIGH | HIGH | MIDDLE-AGE |
| 189 | 100219 | 0 | Cash loans | M | N | Y | 1 | 315000.000 | 2250000.0 | 83515.5 | 2250000.0 | Unaccompanied | Commercial associate | Higher education | Married | House / apartment | 0.032561 | 11177.0 | 1514.0 | 64.0 | 2793.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 1 | Core staff | 3.0 | 1 | 1 | FRIDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.693358 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -926.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | VHIGH | VHIGH | MIDDLE-AGE |
| 190 | 100220 | 0 | Cash loans | F | N | Y | 0 | 225000.000 | 1040985.0 | 30568.5 | 909000.0 | Unaccompanied | Commercial associate | Higher education | Single / not married | House / apartment | 0.003818 | 14823.0 | 185.0 | 1147.0 | 4138.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 1.0 | 2 | 2 | TUESDAY | 6 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.626339 | 0.607557 | 2.0 | 0.0 | 2.0 | 0.0 | -1898.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 | HIGH | VHIGH | MIDDLE-AGE |
| 191 | 100221 | 0 | Cash loans | F | N | Y | 0 | 225000.000 | 684054.0 | 77494.5 | 630000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Widow | House / apartment | 0.006629 | 23656.0 | 11883.0 | 7125.0 | 4681.0 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | TUESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Bank | 0.592459 | 0.736623 | 0.0 | 0.0 | 0.0 | 0.0 | -584.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 | HIGH | HIGH | SENIORS |
| 192 | 100224 | 0 | Cash loans | F | Y | Y | 2 | 225000.000 | 1256400.0 | 36864.0 | 900000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.019689 | 14091.0 | 5664.0 | 8127.0 | 2462.0 | 7.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 4.0 | 2 | 2 | TUESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.598632 | 0.344155 | 4.0 | 2.0 | 4.0 | 2.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | HIGH | VHIGH | MIDDLE-AGE |
| 193 | 100225 | 0 | Cash loans | M | Y | N | 2 | 157500.000 | 720000.0 | 28552.5 | 720000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | With parents | 0.030755 | 14144.0 | 4516.0 | 1516.0 | 4616.0 | 7.0 | 1 | 1 | 0 | 1 | 1 | 0 | Sales staff | 4.0 | 2 | 2 | THURSDAY | 10 | 0 | 0 | 0 | 0 | 1 | 1 | Self-employed | 0.722178 | 0.634706 | 0.0 | 0.0 | 0.0 | 0.0 | -1450.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | MEDIOCRE | HIGH | MIDDLE-AGE |
| 194 | 100226 | 0 | Revolving loans | F | N | N | 2 | 112500.000 | 270000.0 | 13500.0 | 270000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.009657 | 13584.0 | 680.0 | 350.0 | 2097.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 4.0 | 2 | 2 | TUESDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.636572 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | LOW | LOW | MIDDLE-AGE |
| 195 | 100227 | 0 | Cash loans | M | N | N | 0 | 292500.000 | 1024740.0 | 55719.0 | 900000.0 | Unaccompanied | Working | Higher education | Single / not married | House / apartment | 0.006207 | 10010.0 | 240.0 | 4629.0 | 2680.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | Managers | 1.0 | 2 | 2 | WEDNESDAY | 14 | 0 | 0 | 0 | 1 | 1 | 0 | Self-employed | 0.634896 | 0.297087 | 0.0 | 0.0 | 0.0 | 0.0 | -964.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | VHIGH | VHIGH | MIDDLE-AGE |
| 196 | 100228 | 0 | Cash loans | F | N | N | 1 | 121500.000 | 1102500.0 | 32364.0 | 1102500.0 | Unaccompanied | State servant | Secondary / secondary special | Married | Municipal apartment | 0.009657 | 13957.0 | 410.0 | 5038.0 | 4630.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 3.0 | 2 | 2 | MONDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | 0.408871 | 0.425893 | 0.0 | 0.0 | 0.0 | 0.0 | -317.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 4.0 | LOW | VHIGH | MIDDLE-AGE |
| 197 | 100229 | 0 | Cash loans | F | N | Y | 0 | 157500.000 | 544491.0 | 16047.0 | 454500.0 | Family | Working | Secondary / secondary special | Married | House / apartment | 0.010147 | 17947.0 | 5025.0 | 11812.0 | 1505.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Medicine staff | 2.0 | 2 | 2 | TUESDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Medicine | 0.641012 | 0.759712 | 0.0 | 0.0 | 0.0 | 0.0 | -122.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | MEDIOCRE | MEDIOCRE | SENIORS |
| 198 | 100230 | 0 | Revolving loans | F | N | N | 0 | 135000.000 | 405000.0 | 20250.0 | 405000.0 | Children | Working | Secondary / secondary special | Married | House / apartment | 0.008474 | 19070.0 | 837.0 | 6789.0 | 2595.0 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | Sales staff | 2.0 | 2 | 2 | WEDNESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.371543 | 0.180888 | 10.0 | 1.0 | 10.0 | 0.0 | -481.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | LOW | LOW | SENIORS |
| 199 | 100231 | 0 | Cash loans | M | Y | Y | 1 | 108000.000 | 912240.0 | 30276.0 | 787500.0 | Spouse, partner | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.018634 | 17850.0 | 2899.0 | 2880.0 | 1400.0 | 9.0 | 1 | 1 | 0 | 1 | 0 | 0 | Drivers | 3.0 | 2 | 2 | THURSDAY | 9 | 0 | 0 | 0 | 0 | 1 | 1 | Industry: type 3 | 0.497301 | 0.832785 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | LOW | VHIGH | SENIORS |
| 200 | 100233 | 0 | Cash loans | F | N | Y | 0 | 216000.000 | 679671.0 | 28926.0 | 607500.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.010966 | 18341.0 | 701.0 | 9730.0 | 1876.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Transport: type 4 | 0.201584 | 0.609276 | 1.0 | 1.0 | 1.0 | 0.0 | -2071.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 8.0 | HIGH | HIGH | SENIORS |
| 201 | 100234 | 0 | Revolving loans | F | N | N | 0 | 67500.000 | 180000.0 | 9000.0 | 180000.0 | Unaccompanied | Working | Secondary / secondary special | Widow | With parents | 0.003069 | 16614.0 | 551.0 | 6098.0 | 166.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 1.0 | 3 | 3 | THURSDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Hotel | 0.583926 | 0.716570 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | VLOW | VLOW | SENIORS |
| 202 | 100235 | 0 | Cash loans | F | N | Y | 0 | 135000.000 | 364896.0 | 19926.0 | 315000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.016612 | 15887.0 | 468.0 | 4604.0 | 3739.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Cooking staff | 2.0 | 2 | 2 | WEDNESDAY | 12 | 0 | 0 | 0 | 1 | 0 | 1 | Military | 0.505288 | 0.218859 | 1.0 | 0.0 | 1.0 | 0.0 | -736.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | LOW | LOW | MIDDLE-AGE |
| 203 | 100236 | 0 | Cash loans | M | Y | Y | 0 | 112500.000 | 312768.0 | 20353.5 | 270000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.028663 | 23187.0 | 1896.0 | 5213.0 | 4265.0 | 21.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | TUESDAY | 16 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 2 | 0.430618 | NaN | 2.0 | 0.0 | 2.0 | 0.0 | -149.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | LOW | LOW | SENIORS |
| 204 | 100237 | 0 | Cash loans | F | N | N | 2 | 144000.000 | 1288350.0 | 37800.0 | 1125000.0 | Unaccompanied | Working | Secondary / secondary special | Civil marriage | Rented apartment | 0.010966 | 13803.0 | 281.0 | 640.0 | 3215.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | Core staff | 4.0 | 2 | 2 | SATURDAY | 11 | 1 | 1 | 0 | 1 | 1 | 0 | Trade: type 3 | 0.547036 | 0.217629 | 1.0 | 0.0 | 1.0 | 0.0 | -533.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | MEDIOCRE | VHIGH | MIDDLE-AGE |
| 205 | 100238 | 0 | Cash loans | M | Y | Y | 2 | 135000.000 | 781920.0 | 50148.0 | 675000.0 | Spouse, partner | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.035792 | 12994.0 | 1330.0 | 2588.0 | 1202.0 | 21.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 4.0 | 2 | 2 | SUNDAY | 12 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | 0.645634 | 0.654529 | 0.0 | 0.0 | 0.0 | 0.0 | -334.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | LOW | HIGH | MIDDLE-AGE |
| 206 | 100239 | 0 | Cash loans | F | N | Y | 1 | 225000.000 | 1483231.5 | 51687.0 | 1354500.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.010147 | 20191.0 | 1699.0 | 6040.0 | 3723.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 1 | Accountants | 3.0 | 2 | 2 | MONDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.757328 | 0.130947 | 2.0 | 1.0 | 2.0 | 0.0 | -1864.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | HIGH | VHIGH | SENIORS |
| 207 | 100240 | 0 | Cash loans | M | N | Y | 2 | 135000.000 | 590337.0 | 28530.0 | 477000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.018029 | 11978.0 | 3947.0 | 6005.0 | 4099.0 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | Laborers | 4.0 | 3 | 2 | SUNDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Housing | 0.628532 | 0.121408 | 4.0 | 1.0 | 4.0 | 1.0 | -155.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | LOW | MEDIOCRE | MIDDLE-AGE |
| 208 | 100242 | 0 | Cash loans | M | Y | Y | 0 | 90000.000 | 101880.0 | 10827.0 | 90000.0 | Unaccompanied | Working | Secondary / secondary special | Married | Municipal apartment | 0.005144 | 20945.0 | 7359.0 | 7395.0 | 4287.0 | 11.0 | 1 | 1 | 1 | 1 | 0 | 0 | Drivers | 2.0 | 2 | 2 | SATURDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.718314 | 0.380800 | 0.0 | 0.0 | 0.0 | 0.0 | -2278.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VLOW | VLOW | SENIORS |
| 209 | 100243 | 0 | Cash loans | M | N | Y | 0 | 112500.000 | 161730.0 | 13833.0 | 135000.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.028663 | 9720.0 | 573.0 | 689.0 | 2193.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 2.0 | 2 | 2 | SUNDAY | 13 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | 0.394075 | 0.454321 | 3.0 | 0.0 | 3.0 | 0.0 | -1197.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | LOW | VLOW | MIDDLE-AGE |
| 210 | 100244 | 0 | Cash loans | M | N | N | 1 | 247500.000 | 447768.0 | 35505.0 | 405000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.010006 | 17103.0 | 5021.0 | 221.0 | 647.0 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | Laborers | 3.0 | 2 | 2 | SATURDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Industry: type 9 | 0.103570 | 0.742182 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VHIGH | MEDIOCRE | SENIORS |
| 212 | 100247 | 0 | Cash loans | F | N | Y | 0 | 225000.000 | 402939.0 | 19381.5 | 306000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.010147 | 19914.0 | 3408.0 | 7647.0 | 3444.0 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | Laborers | 2.0 | 2 | 2 | FRIDAY | 11 | 0 | 1 | 1 | 0 | 1 | 1 | Business Entity Type 1 | 0.657784 | 0.196334 | 2.0 | 1.0 | 2.0 | 0.0 | -1498.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | HIGH | LOW | SENIORS |
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| 307291 | 456017 | 0 | Cash loans | F | N | N | 2 | 54000.000 | 81504.0 | 8775.0 | 72000.0 | Children | Working | Secondary / secondary special | Married | With parents | 0.018850 | 9961.0 | 368.0 | 2754.0 | 1352.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Medicine staff | 4.0 | 2 | 2 | SATURDAY | 15 | 0 | 0 | 0 | 1 | 1 | 0 | Kindergarten | 0.267573 | 0.045992 | 0.0 | 0.0 | 0.0 | 0.0 | -499.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 3.0 | VLOW | VLOW | MIDDLE-AGE |
| 307292 | 456018 | 0 | Cash loans | F | N | Y | 1 | 310500.000 | 645903.0 | 39645.0 | 598500.0 | Unaccompanied | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.046220 | 16091.0 | 184.0 | 9681.0 | 4129.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 3.0 | 1 | 1 | TUESDAY | 12 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 1 | 0.692190 | 0.607557 | 1.0 | 0.0 | 1.0 | 0.0 | -2249.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VHIGH | HIGH | MIDDLE-AGE |
| 307293 | 456019 | 0 | Cash loans | M | Y | Y | 1 | 157500.000 | 900000.0 | 50256.0 | 900000.0 | Unaccompanied | Pensioner | Higher education | Married | House / apartment | 0.005084 | 17523.0 | 365243.0 | 9330.0 | 1066.0 | 3.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 3.0 | 2 | 2 | THURSDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.733269 | 0.537070 | 0.0 | 0.0 | 0.0 | 0.0 | -443.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 5.0 | MEDIOCRE | HIGH | SENIORS |
| 307294 | 456020 | 0 | Cash loans | F | N | Y | 0 | 180000.000 | 1147500.0 | 59544.0 | 1147500.0 | Children | Pensioner | Secondary / secondary special | Married | House / apartment | 0.010643 | 23047.0 | 365243.0 | 3368.0 | 4877.0 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | SATURDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.646109 | 0.771362 | 0.0 | 0.0 | 0.0 | 0.0 | -2058.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | HIGH | VHIGH | SENIORS |
| 307295 | 456021 | 0 | Revolving loans | F | N | Y | 0 | 180000.000 | 405000.0 | 20250.0 | 405000.0 | Unaccompanied | Working | Secondary / secondary special | Widow | House / apartment | 0.022800 | 20308.0 | 1568.0 | 9735.0 | 3437.0 | 0.0 | 1 | 1 | 0 | 1 | 1 | 1 | Laborers | 1.0 | 2 | 2 | WEDNESDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.613686 | 0.275000 | 2.0 | 0.0 | 2.0 | 0.0 | -203.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | HIGH | LOW | SENIORS |
| 307296 | 456022 | 0 | Cash loans | F | N | Y | 1 | 90000.000 | 1005120.0 | 29520.0 | 720000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.035792 | 10509.0 | 2902.0 | 16.0 | 1894.0 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | Core staff | 3.0 | 2 | 2 | FRIDAY | 16 | 0 | 0 | 0 | 0 | 1 | 1 | Medicine | 0.410971 | 0.508287 | 4.0 | 0.0 | 4.0 | 0.0 | -397.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | VLOW | VHIGH | MIDDLE-AGE |
| 307297 | 456023 | 0 | Cash loans | F | N | Y | 0 | 261000.000 | 152820.0 | 16344.0 | 135000.0 | Unaccompanied | State servant | Higher education | Single / not married | House / apartment | 0.002042 | 16811.0 | 943.0 | 6.0 | 360.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Managers | 1.0 | 3 | 3 | FRIDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Telecom | 0.524670 | 0.673830 | 1.0 | 0.0 | 1.0 | 0.0 | -782.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | VHIGH | VLOW | SENIORS |
| 307298 | 456024 | 0 | Cash loans | F | N | N | 0 | 121500.000 | 808650.0 | 26217.0 | 675000.0 | Unaccompanied | Working | Secondary / secondary special | Single / not married | House / apartment | 0.030755 | 17875.0 | 2217.0 | 1939.0 | 1425.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Security staff | 1.0 | 2 | 2 | MONDAY | 11 | 0 | 0 | 0 | 0 | 1 | 1 | Security | 0.633079 | 0.680139 | 0.0 | 0.0 | 0.0 | 0.0 | -2034.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 6.0 | 0.0 | 2.0 | LOW | HIGH | SENIORS |
| 307299 | 456025 | 0 | Revolving loans | F | N | Y | 0 | 144000.000 | 180000.0 | 9000.0 | 180000.0 | Family | Working | Higher education | Single / not married | House / apartment | 0.004960 | 20650.0 | 10664.0 | 11.0 | 4211.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | SATURDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | School | 0.577878 | 0.669057 | 0.0 | 0.0 | 0.0 | 0.0 | -1218.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | MEDIOCRE | VLOW | SENIORS |
| 307300 | 456026 | 0 | Cash loans | M | Y | Y | 0 | 225000.000 | 1035000.0 | 30393.0 | 1035000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.026392 | 14547.0 | 5097.0 | 515.0 | 4804.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Drivers | 2.0 | 2 | 2 | TUESDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Industry: type 9 | 0.717087 | 0.295583 | 2.0 | 1.0 | 2.0 | 1.0 | -1715.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 3.0 | HIGH | VHIGH | MIDDLE-AGE |
| 307301 | 456027 | 0 | Cash loans | F | N | Y | 0 | 117000.000 | 625356.0 | 20173.5 | 522000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Separated | House / apartment | 0.018801 | 23694.0 | 365243.0 | 7501.0 | 4435.0 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | SATURDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.042862 | 0.554947 | 0.0 | 0.0 | 0.0 | 0.0 | -742.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | LOW | HIGH | SENIORS |
| 307302 | 456029 | 0 | Cash loans | F | N | Y | 0 | 81000.000 | 269550.0 | 14751.0 | 225000.0 | Unaccompanied | Working | Secondary / secondary special | Single / not married | House / apartment | 0.025164 | 13114.0 | 1218.0 | 5880.0 | 3996.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 1.0 | 2 | 2 | MONDAY | 14 | 0 | 0 | 0 | 0 | 1 | 1 | Agriculture | 0.160405 | 0.239226 | 5.0 | 0.0 | 5.0 | 0.0 | -361.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | VLOW | LOW | MIDDLE-AGE |
| 307303 | 456030 | 0 | Cash loans | F | N | N | 0 | 112500.000 | 441481.5 | 13513.5 | 364500.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.030755 | 14026.0 | 465.0 | 3200.0 | 743.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 2.0 | 2 | 2 | MONDAY | 11 | 0 | 0 | 0 | 0 | 1 | 1 | School | 0.715184 | 0.609276 | 2.0 | 0.0 | 2.0 | 0.0 | -1721.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 | LOW | MEDIOCRE | MIDDLE-AGE |
| 307304 | 456031 | 0 | Cash loans | M | N | N | 0 | 270000.000 | 153000.0 | 14031.0 | 153000.0 | Unaccompanied | Working | Higher education | Single / not married | With parents | 0.014520 | 10074.0 | 601.0 | 3941.0 | 2736.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | THURSDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Transport: type 4 | 0.642003 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -322.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | VHIGH | VLOW | MIDDLE-AGE |
| 307305 | 456032 | 0 | Cash loans | F | N | N | 0 | 225000.000 | 536917.5 | 28737.0 | 463500.0 | Unaccompanied | Working | Secondary / secondary special | Married | Municipal apartment | 0.010500 | 16229.0 | 2885.0 | 1070.0 | 5112.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 3 | 3 | THURSDAY | 10 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | 0.762482 | 0.595456 | 6.0 | 0.0 | 6.0 | 0.0 | -2567.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | HIGH | MEDIOCRE | MIDDLE-AGE |
| 307306 | 456033 | 0 | Cash loans | F | Y | Y | 1 | 117000.000 | 1089000.0 | 31842.0 | 1089000.0 | Unaccompanied | Working | Secondary / secondary special | Civil marriage | With parents | 0.007020 | 13412.0 | 3078.0 | 1414.0 | 4943.0 | 7.0 | 1 | 1 | 1 | 1 | 0 | 0 | Core staff | 3.0 | 2 | 2 | THURSDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Military | 0.661623 | NaN | 1.0 | 1.0 | 1.0 | 1.0 | -534.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | LOW | VHIGH | MIDDLE-AGE |
| 307308 | 456035 | 0 | Cash loans | M | Y | Y | 2 | 180000.000 | 1027327.5 | 43654.5 | 945000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.002042 | 16556.0 | 3154.0 | 3803.0 | 106.0 | 6.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 4.0 | 3 | 3 | FRIDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Trade: type 7 | 0.114563 | NaN | 2.0 | 0.0 | 1.0 | 0.0 | -358.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | HIGH | VHIGH | SENIORS |
| 307309 | 456036 | 0 | Cash loans | M | Y | N | 2 | 270000.000 | 900000.0 | 40671.0 | 900000.0 | Unaccompanied | Working | Higher education | Civil marriage | Municipal apartment | 0.002506 | 13578.0 | 2430.0 | 997.0 | 1265.0 | 17.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 4.0 | 2 | 2 | WEDNESDAY | 1 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.462705 | 0.362277 | 0.0 | 0.0 | 0.0 | 0.0 | -308.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | VHIGH | HIGH | MIDDLE-AGE |
| 307310 | 456037 | 0 | Cash loans | F | N | Y | 0 | 202500.000 | 1075500.0 | 34825.5 | 1075500.0 | Unaccompanied | Pensioner | Higher education | Married | House / apartment | 0.026392 | 21120.0 | 365243.0 | 257.0 | 4121.0 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | MONDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.433607 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | HIGH | VHIGH | SENIORS |
| 307311 | 456038 | 0 | Revolving loans | F | N | N | 1 | 121500.000 | 382500.0 | 19125.0 | 382500.0 | Unaccompanied | Commercial associate | Higher education | Single / not married | House / apartment | 0.009175 | 16584.0 | 4513.0 | 3466.0 | 124.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 18 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | 0.730342 | 0.816092 | 1.0 | 1.0 | 1.0 | 0.0 | -1451.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | LOW | LOW | SENIORS |
| 307312 | 456039 | 0 | Cash loans | F | N | Y | 0 | 144000.000 | 203760.0 | 20281.5 | 180000.0 | Unaccompanied | State servant | Secondary / secondary special | Separated | With parents | 0.006629 | 11269.0 | 3316.0 | 5421.0 | 2171.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | Medicine staff | 1.0 | 2 | 2 | SATURDAY | 5 | 0 | 0 | 0 | 0 | 0 | 0 | Medicine | 0.536108 | 0.483050 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | MEDIOCRE | VLOW | MIDDLE-AGE |
| 307313 | 456040 | 0 | Cash loans | M | Y | Y | 0 | 157500.000 | 755190.0 | 38686.5 | 675000.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.006671 | 18520.0 | 1258.0 | 1950.0 | 1993.0 | 3.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | TUESDAY | 19 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.510459 | 0.713631 | 0.0 | 0.0 | 0.0 | 0.0 | -601.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | MEDIOCRE | HIGH | SENIORS |
| 307314 | 456041 | 0 | Cash loans | F | Y | Y | 1 | 202500.000 | 599544.0 | 21663.0 | 495000.0 | Unaccompanied | State servant | Secondary / secondary special | Civil marriage | Office apartment | 0.020246 | 12626.0 | 211.0 | 4004.0 | 4774.0 | 3.0 | 1 | 1 | 0 | 1 | 0 | 1 | Medicine staff | 3.0 | 3 | 3 | TUESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.409854 | 0.670652 | 0.0 | 0.0 | 0.0 | 0.0 | -826.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | HIGH | MEDIOCRE | MIDDLE-AGE |
| 307315 | 456042 | 0 | Cash loans | F | N | N | 0 | 60300.000 | 143910.0 | 14017.5 | 135000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.007305 | 23277.0 | 365243.0 | 11979.0 | 4411.0 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 3 | 3 | WEDNESDAY | 6 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.173023 | 0.312365 | 0.0 | 0.0 | 0.0 | 0.0 | -2298.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VLOW | VLOW | SENIORS |
| 307316 | 456043 | 0 | Cash loans | M | Y | N | 2 | 202500.000 | 675000.0 | 34596.0 | 675000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.035792 | 12463.0 | 1026.0 | 6272.0 | 4142.0 | 21.0 | 1 | 1 | 0 | 1 | 0 | 1 | NaN | 4.0 | 2 | 2 | THURSDAY | 14 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | 0.613194 | 0.432962 | 0.0 | 0.0 | 0.0 | 0.0 | -2707.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | HIGH | HIGH | MIDDLE-AGE |
| 307317 | 456044 | 0 | Cash loans | F | N | N | 0 | 256500.000 | 781920.0 | 41400.0 | 675000.0 | Unaccompanied | Working | Higher education | Single / not married | House / apartment | 0.046220 | 19107.0 | 286.0 | 4604.0 | 2630.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Accountants | 1.0 | 1 | 1 | SATURDAY | 11 | 0 | 1 | 1 | 0 | 0 | 0 | Trade: type 7 | 0.644973 | 0.636376 | 0.0 | 0.0 | 0.0 | 0.0 | -585.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | VHIGH | HIGH | SENIORS |
| 307318 | 456045 | 0 | Cash loans | F | N | Y | 1 | 112500.000 | 808650.0 | 23643.0 | 675000.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.031329 | 13749.0 | 426.0 | 3096.0 | 5977.0 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | Sales staff | 3.0 | 2 | 2 | SUNDAY | 8 | 0 | 0 | 0 | 1 | 1 | 0 | Trade: type 3 | 0.510398 | 0.474051 | 1.0 | 0.0 | 1.0 | 0.0 | -85.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | LOW | HIGH | MIDDLE-AGE |
| 307319 | 456046 | 0 | Cash loans | F | Y | Y | 0 | 144000.000 | 450000.0 | 30573.0 | 450000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.026392 | 13613.0 | 1541.0 | 1990.0 | 4614.0 | 3.0 | 1 | 1 | 0 | 1 | 0 | 0 | High skill tech staff | 2.0 | 2 | 2 | FRIDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Government | 0.617924 | 0.384207 | 2.0 | 0.0 | 2.0 | 0.0 | -442.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | MEDIOCRE | MEDIOCRE | MIDDLE-AGE |
| 307321 | 456048 | 0 | Cash loans | M | N | N | 0 | 135000.000 | 1288350.0 | 37800.0 | 1125000.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.004960 | 16055.0 | 6130.0 | 5972.0 | 4560.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 2.0 | 2 | 2 | THURSDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Culture | 0.237334 | 0.810618 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | LOW | VHIGH | MIDDLE-AGE |
| 307322 | 456049 | 0 | Cash loans | F | N | Y | 0 | 99000.000 | 238500.0 | 17091.0 | 238500.0 | Unaccompanied | Pensioner | Higher education | Widow | House / apartment | 0.006008 | 24864.0 | 365243.0 | 7068.0 | 4032.0 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | WEDNESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.683963 | 0.556727 | 1.0 | 0.0 | 1.0 | 0.0 | -1192.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 | VLOW | VLOW | SENIORS |
| 307323 | 456050 | 0 | Cash loans | F | N | Y | 0 | 112500.000 | 521280.0 | 25209.0 | 450000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.009334 | 16567.0 | 2078.0 | 725.0 | 108.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 2.0 | 2 | 2 | TUESDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Trade: type 7 | 0.779499 | 0.211551 | 4.0 | 1.0 | 4.0 | 1.0 | -1486.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | LOW | MEDIOCRE | SENIORS |
| 307324 | 456051 | 0 | Cash loans | F | N | N | 0 | 225000.000 | 406597.5 | 19557.0 | 351000.0 | Unaccompanied | Working | Secondary / secondary special | Separated | House / apartment | 0.024610 | 20214.0 | 2841.0 | 14270.0 | 3171.0 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | WEDNESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Services | 0.627490 | NaN | 4.0 | 0.0 | 4.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | HIGH | LOW | SENIORS |
| 307326 | 456053 | 0 | Cash loans | F | N | Y | 3 | 135000.000 | 364896.0 | 28957.5 | 315000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.019101 | 12564.0 | 636.0 | 4785.0 | 4857.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 5.0 | 2 | 2 | WEDNESDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Trade: type 7 | 0.267277 | NaN | 5.0 | 0.0 | 5.0 | 0.0 | -490.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | LOW | LOW | MIDDLE-AGE |
| 307327 | 456054 | 0 | Cash loans | M | Y | Y | 1 | 180000.000 | 323388.0 | 34087.5 | 292500.0 | Unaccompanied | Working | Incomplete higher | Married | House / apartment | 0.020246 | 10819.0 | 2705.0 | 1485.0 | 3474.0 | 4.0 | 1 | 1 | 0 | 1 | 0 | 0 | Drivers | 3.0 | 3 | 3 | SATURDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.795104 | 0.508287 | 4.0 | 0.0 | 4.0 | 0.0 | -2223.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 1.0 | HIGH | LOW | MIDDLE-AGE |
| 307328 | 456055 | 0 | Cash loans | F | N | Y | 0 | 333000.000 | 1113840.0 | 44302.5 | 900000.0 | Unaccompanied | Working | Higher education | Civil marriage | House / apartment | 0.010032 | 18519.0 | 11084.0 | 3208.0 | 2052.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 6 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | 0.441831 | 0.707699 | 2.0 | 2.0 | 2.0 | 2.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VHIGH | VHIGH | SENIORS |
| 307329 | 456056 | 0 | Revolving loans | M | N | Y | 1 | 193500.000 | 180000.0 | 9000.0 | 180000.0 | Unaccompanied | Working | Higher education | Married | With parents | 0.009630 | 13913.0 | 1155.0 | 7997.0 | 4310.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Managers | 3.0 | 2 | 2 | MONDAY | 13 | 0 | 0 | 0 | 0 | 1 | 1 | Security Ministries | 0.483498 | 0.755740 | 2.0 | 0.0 | 2.0 | 0.0 | -656.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | HIGH | VLOW | MIDDLE-AGE |
| 307330 | 456057 | 0 | Cash loans | M | Y | Y | 0 | 112500.000 | 497520.0 | 39438.0 | 450000.0 | Family | Commercial associate | Higher education | Married | House / apartment | 0.009630 | 19897.0 | 1724.0 | 10316.0 | 3374.0 | 13.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.460010 | 0.707699 | 0.0 | 0.0 | 0.0 | 0.0 | -597.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | LOW | MEDIOCRE | SENIORS |
| 307331 | 456059 | 0 | Cash loans | M | N | Y | 0 | 157500.000 | 450000.0 | 17095.5 | 450000.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.026392 | 13984.0 | 3876.0 | 0.0 | 4406.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 2.0 | 2 | 2 | FRIDAY | 18 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | 0.661955 | 0.754406 | 2.0 | 0.0 | 1.0 | 0.0 | -1266.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | MEDIOCRE | MEDIOCRE | MIDDLE-AGE |
| 307332 | 456060 | 0 | Cash loans | F | N | Y | 0 | 315000.000 | 567000.0 | 18418.5 | 567000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.010966 | 16330.0 | 3954.0 | 1924.0 | 4327.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | WEDNESDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.650611 | 0.730987 | 0.0 | 0.0 | 0.0 | 0.0 | -1528.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 4.0 | 0.0 | 1.0 | VHIGH | MEDIOCRE | MIDDLE-AGE |
| 307333 | 456061 | 0 | Cash loans | F | N | Y | 0 | 157500.000 | 454500.0 | 18022.5 | 454500.0 | Unaccompanied | State servant | Secondary / secondary special | Married | House / apartment | 0.025164 | 20377.0 | 6878.0 | 6617.0 | 3809.0 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | Core staff | 2.0 | 2 | 2 | FRIDAY | 7 | 0 | 0 | 0 | 0 | 0 | 0 | Kindergarten | 0.162192 | 0.736623 | 0.0 | 0.0 | 0.0 | 0.0 | -1318.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | MEDIOCRE | MEDIOCRE | SENIORS |
| 307334 | 456062 | 0 | Cash loans | F | N | Y | 0 | 135000.000 | 1056447.0 | 31018.5 | 922500.0 | Children | Pensioner | Secondary / secondary special | Married | House / apartment | 0.004960 | 22122.0 | 365243.0 | 7997.0 | 4703.0 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | MONDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.747837 | 0.746300 | 3.0 | 1.0 | 3.0 | 0.0 | -747.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | LOW | VHIGH | SENIORS |
| 307335 | 456063 | 0 | Cash loans | F | N | N | 0 | 112500.000 | 719860.5 | 48298.5 | 679500.0 | Unaccompanied | Pensioner | Higher education | Married | House / apartment | 0.020713 | 22449.0 | 365243.0 | 4711.0 | 4017.0 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 3 | 3 | THURSDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.515015 | 0.531686 | 0.0 | 0.0 | 0.0 | 0.0 | -2350.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | LOW | HIGH | SENIORS |
| 307336 | 456064 | 0 | Cash loans | F | Y | Y | 1 | 184500.000 | 540000.0 | 30150.0 | 540000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.032561 | 19149.0 | 2737.0 | 7126.0 | 2712.0 | 2.0 | 1 | 1 | 0 | 1 | 1 | 0 | Managers | 3.0 | 1 | 1 | SUNDAY | 21 | 0 | 0 | 0 | 0 | 0 | 0 | Transport: type 4 | 0.687107 | 0.263647 | 0.0 | 0.0 | 0.0 | 0.0 | -2661.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | HIGH | MEDIOCRE | SENIORS |
| 307337 | 456065 | 0 | Cash loans | F | Y | Y | 0 | 225000.000 | 481500.0 | 26118.0 | 481500.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | With parents | 0.035792 | 14827.0 | 2064.0 | 2253.0 | 5150.0 | 13.0 | 1 | 1 | 1 | 1 | 0 | 1 | Sales staff | 2.0 | 2 | 2 | MONDAY | 14 | 0 | 0 | 0 | 0 | 1 | 1 | Self-employed | 0.619131 | 0.046951 | 0.0 | 0.0 | 0.0 | 0.0 | -886.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 3.0 | HIGH | MEDIOCRE | MIDDLE-AGE |
| 307338 | 456066 | 0 | Cash loans | F | N | Y | 0 | 67500.000 | 454500.0 | 14661.0 | 454500.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.024610 | 13795.0 | 1253.0 | 4516.0 | 4437.0 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.602001 | 0.231439 | 2.0 | 1.0 | 2.0 | 1.0 | -1397.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VLOW | MEDIOCRE | MIDDLE-AGE |
| 307339 | 456067 | 0 | Cash loans | M | N | Y | 0 | 157500.000 | 1097676.0 | 32224.5 | 958500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.020246 | 22720.0 | 365243.0 | 14514.0 | 3906.0 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 3 | MONDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.501954 | 0.743559 | 4.0 | 1.0 | 3.0 | 1.0 | -1138.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | MEDIOCRE | VHIGH | SENIORS |
| 307340 | 456068 | 0 | Cash loans | F | N | Y | 0 | 157500.000 | 766282.5 | 33885.0 | 661500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Separated | House / apartment | 0.016612 | 23108.0 | 365243.0 | 4605.0 | 640.0 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | FRIDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.150020 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | MEDIOCRE | HIGH | SENIORS |
| 307341 | 456069 | 0 | Cash loans | F | N | N | 0 | 67500.000 | 190764.0 | 12321.0 | 157500.0 | Unaccompanied | Working | Secondary / secondary special | Widow | House / apartment | 0.018029 | 19364.0 | 2539.0 | 10152.0 | 2878.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Cooking staff | 1.0 | 3 | 3 | TUESDAY | 6 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.039031 | 0.365617 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | VLOW | VLOW | SENIORS |
| 307342 | 456070 | 0 | Cash loans | F | Y | N | 0 | 180000.000 | 840996.0 | 24718.5 | 702000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.006629 | 18800.0 | 4699.0 | 1910.0 | 2337.0 | 11.0 | 1 | 1 | 0 | 1 | 0 | 0 | Managers | 2.0 | 2 | 2 | MONDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.350089 | 0.265049 | 0.0 | 0.0 | 0.0 | 0.0 | -1560.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | HIGH | HIGH | SENIORS |
| 307343 | 456071 | 0 | Cash loans | F | N | Y | 1 | 90000.000 | 579942.0 | 33421.5 | 495000.0 | Group of people | Working | Secondary / secondary special | Married | House / apartment | 0.010966 | 17541.0 | 6625.0 | 7274.0 | 1041.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 3.0 | 2 | 2 | TUESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Culture | 0.642300 | 0.631355 | 1.0 | 0.0 | 1.0 | 0.0 | -2811.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 6.0 | VLOW | MEDIOCRE | SENIORS |
| 307344 | 456072 | 0 | Cash loans | F | N | N | 1 | 135000.000 | 269550.0 | 21739.5 | 225000.0 | Unaccompanied | Working | Incomplete higher | Single / not married | House / apartment | 0.006305 | 8205.0 | 1001.0 | 1401.0 | 709.0 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | Accountants | 2.0 | 3 | 3 | WEDNESDAY | 7 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.293235 | 0.519097 | 8.0 | 0.0 | 8.0 | 0.0 | -834.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | LOW | LOW | TEENAGE |
| 307345 | 456073 | 0 | Cash loans | F | N | Y | 0 | 135000.000 | 755190.0 | 52690.5 | 675000.0 | Family | Pensioner | Secondary / secondary special | Civil marriage | House / apartment | 0.007330 | 22525.0 | 365243.0 | 11142.0 | 4635.0 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.638503 | 0.733815 | 2.0 | 0.0 | 2.0 | 0.0 | -271.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | LOW | HIGH | SENIORS |
| 307346 | 456074 | 0 | Cash loans | M | Y | N | 1 | 315000.000 | 730017.0 | 30928.5 | 652500.0 | Unaccompanied | Working | Secondary / secondary special | Widow | Municipal apartment | 0.006629 | 20243.0 | 1419.0 | 6308.0 | 3076.0 | 6.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | SATURDAY | 6 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.744449 | 0.691021 | 4.0 | 0.0 | 4.0 | 0.0 | -2026.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | VHIGH | HIGH | SENIORS |
| 307347 | 456075 | 0 | Cash loans | M | Y | Y | 0 | 112500.000 | 717003.0 | 21091.5 | 598500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.032561 | 22732.0 | 365243.0 | 8531.0 | 4001.0 | 8.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 1 | 1 | SATURDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.761364 | 0.821443 | 0.0 | 0.0 | 0.0 | 0.0 | -1720.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 3.0 | LOW | HIGH | SENIORS |
| 307348 | 456076 | 0 | Cash loans | M | Y | N | 2 | 315000.000 | 481495.5 | 36000.0 | 454500.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.020713 | 14084.0 | 5284.0 | 266.0 | 4315.0 | 3.0 | 1 | 1 | 1 | 1 | 0 | 0 | Managers | 4.0 | 3 | 2 | THURSDAY | 18 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.534509 | 0.669057 | 4.0 | 0.0 | 4.0 | 0.0 | -1629.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | VHIGH | MEDIOCRE | MIDDLE-AGE |
| 307349 | 456077 | 0 | Cash loans | F | N | Y | 0 | 67500.000 | 143910.0 | 14364.0 | 135000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Civil marriage | House / apartment | 0.030755 | 22355.0 | 365243.0 | 2200.0 | 3765.0 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.111986 | 0.641368 | 0.0 | 0.0 | 0.0 | 0.0 | -734.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | VLOW | VLOW | SENIORS |
| 307350 | 456078 | 0 | Cash loans | F | N | Y | 0 | 112500.000 | 390960.0 | 21339.0 | 337500.0 | Unaccompanied | Working | Secondary / secondary special | Single / not married | House / apartment | 0.035792 | 8573.0 | 322.0 | 1822.0 | 1196.0 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | SUNDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.269471 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | LOW | LOW | TEENAGE |
| 307351 | 456079 | 0 | Cash loans | F | N | N | 0 | 148500.000 | 157050.0 | 6781.5 | 112500.0 | Family | Working | Higher education | Married | House / apartment | 0.030755 | 21569.0 | 1091.0 | 9519.0 | 4776.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Managers | 2.0 | 2 | 2 | WEDNESDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | School | 0.712419 | 0.579727 | 1.0 | 0.0 | 1.0 | 0.0 | -242.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 | MEDIOCRE | VLOW | SENIORS |
| 307352 | 456080 | 0 | Cash loans | F | N | Y | 0 | 121500.000 | 448056.0 | 17019.0 | 315000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.019689 | 18248.0 | 1084.0 | 8244.0 | 1765.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Cooking staff | 2.0 | 2 | 2 | WEDNESDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.756918 | 0.267869 | 1.0 | 0.0 | 1.0 | 0.0 | -183.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | LOW | MEDIOCRE | SENIORS |
| 307353 | 456081 | 0 | Cash loans | M | Y | Y | 0 | 72000.000 | 547344.0 | 19791.0 | 472500.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.022800 | 15265.0 | 2507.0 | 7889.0 | 3945.0 | 11.0 | 1 | 1 | 1 | 1 | 1 | 0 | Drivers | 2.0 | 2 | 2 | FRIDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.607572 | 0.605836 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | VLOW | MEDIOCRE | MIDDLE-AGE |
| 307354 | 456082 | 0 | Cash loans | M | Y | N | 0 | 157500.000 | 1078200.0 | 28570.5 | 900000.0 | Unaccompanied | State servant | Higher education | Single / not married | House / apartment | 0.007020 | 11180.0 | 1654.0 | 528.0 | 3770.0 | 12.0 | 1 | 1 | 0 | 1 | 1 | 0 | Managers | 1.0 | 2 | 2 | THURSDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Housing | 0.570693 | 0.210350 | 0.0 | 0.0 | 0.0 | 0.0 | -5.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | MEDIOCRE | VHIGH | MIDDLE-AGE |
| 307355 | 456083 | 0 | Cash loans | F | Y | Y | 2 | 112500.000 | 361462.5 | 16051.5 | 274500.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.025164 | 15006.0 | 1105.0 | 1806.0 | 2465.0 | 9.0 | 1 | 1 | 0 | 1 | 0 | 0 | Security staff | 4.0 | 2 | 2 | WEDNESDAY | 9 | 0 | 0 | 0 | 0 | 1 | 1 | Government | 0.418337 | 0.758393 | 0.0 | 0.0 | 0.0 | 0.0 | -1907.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | LOW | LOW | MIDDLE-AGE |
| 307356 | 456084 | 0 | Cash loans | F | Y | Y | 1 | 99000.000 | 675000.0 | 21906.0 | 675000.0 | Family | Working | Secondary / secondary special | Separated | House / apartment | 0.020246 | 14007.0 | 2021.0 | 2395.0 | 1177.0 | 14.0 | 1 | 1 | 0 | 1 | 0 | 0 | Security staff | 2.0 | 3 | 3 | FRIDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Security | 0.612929 | 0.475850 | 1.0 | 0.0 | 1.0 | 0.0 | -1789.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VLOW | HIGH | MIDDLE-AGE |
| 307357 | 456085 | 0 | Cash loans | F | Y | Y | 0 | 135000.000 | 218016.0 | 15993.0 | 180000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.010966 | 17115.0 | 329.0 | 7259.0 | 660.0 | 11.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 2.0 | 2 | 2 | THURSDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.229327 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -134.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | LOW | VLOW | SENIORS |
| 307358 | 456086 | 0 | Cash loans | F | Y | Y | 0 | 92250.000 | 253737.0 | 16956.0 | 229500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.028663 | 20822.0 | 365243.0 | 4251.0 | 4263.0 | 23.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.609208 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | VLOW | VLOW | SENIORS |
| 307359 | 456087 | 0 | Cash loans | F | N | Y | 0 | 180000.000 | 270000.0 | 12717.0 | 270000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.026392 | 11490.0 | 883.0 | 5623.0 | 805.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.704516 | 0.370650 | 1.0 | 1.0 | 1.0 | 1.0 | -947.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | HIGH | LOW | MIDDLE-AGE |
| 307361 | 456089 | 0 | Cash loans | F | N | Y | 0 | 112500.000 | 787131.0 | 30631.5 | 679500.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.007305 | 13875.0 | 3121.0 | 5874.0 | 4013.0 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | Sales staff | 2.0 | 3 | 3 | WEDNESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.081689 | 0.154744 | 0.0 | 0.0 | 0.0 | 0.0 | -181.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 8.0 | LOW | HIGH | MIDDLE-AGE |
| 307362 | 456090 | 0 | Cash loans | M | N | N | 0 | 270000.000 | 743863.5 | 58770.0 | 743863.5 | Unaccompanied | Working | Secondary / secondary special | Married | Rented apartment | 0.028663 | 10591.0 | 2417.0 | 4626.0 | 3209.0 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | THURSDAY | 12 | 0 | 0 | 0 | 1 | 1 | 0 | Self-employed | 0.406252 | NaN | 5.0 | 1.0 | 5.0 | 1.0 | -413.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | VHIGH | HIGH | MIDDLE-AGE |
| 307363 | 456091 | 0 | Cash loans | F | N | N | 2 | 90000.000 | 454500.0 | 19386.0 | 454500.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.022800 | 13349.0 | 1592.0 | 4816.0 | 5239.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 4.0 | 2 | 2 | FRIDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Kindergarten | 0.641872 | 0.417100 | 0.0 | 0.0 | 0.0 | 0.0 | -1688.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | VLOW | MEDIOCRE | MIDDLE-AGE |
| 307364 | 456092 | 0 | Cash loans | F | N | Y | 1 | 58500.000 | 351000.0 | 17199.0 | 351000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.015221 | 10351.0 | 227.0 | 8340.0 | 2612.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 3.0 | 2 | 2 | FRIDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Trade: type 3 | 0.678268 | NaN | 7.0 | 1.0 | 7.0 | 1.0 | -236.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | VLOW | LOW | MIDDLE-AGE |
| 307365 | 456093 | 0 | Cash loans | F | N | Y | 2 | 103500.000 | 339241.5 | 15943.5 | 238500.0 | Unaccompanied | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.018634 | 13110.0 | 242.0 | 3323.0 | 3342.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Managers | 4.0 | 2 | 2 | SUNDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Culture | 0.600496 | 0.652897 | 0.0 | 0.0 | 0.0 | 0.0 | -1626.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 | LOW | LOW | MIDDLE-AGE |
| 307366 | 456094 | 0 | Cash loans | M | N | Y | 0 | 112500.000 | 1546020.0 | 42642.0 | 1350000.0 | Spouse, partner | Pensioner | Secondary / secondary special | Married | House / apartment | 0.003069 | 23551.0 | 365243.0 | 12243.0 | 4242.0 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 3 | TUESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.662459 | 0.614414 | 1.0 | 0.0 | 1.0 | 0.0 | -1392.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | LOW | VHIGH | SENIORS |
| 307367 | 456095 | 0 | Cash loans | F | N | Y | 0 | 135000.000 | 986553.0 | 28975.5 | 823500.0 | Unaccompanied | Pensioner | Higher education | Married | House / apartment | 0.009630 | 19105.0 | 365243.0 | 11791.0 | 2662.0 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | SUNDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.285898 | 0.468660 | 5.0 | 0.0 | 5.0 | 0.0 | -2218.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 6.0 | LOW | VHIGH | SENIORS |
| 307368 | 456096 | 0 | Cash loans | F | Y | Y | 0 | 112500.000 | 728460.0 | 39676.5 | 675000.0 | Family | Commercial associate | Secondary / secondary special | Single / not married | House / apartment | 0.018801 | 19945.0 | 3781.0 | 1028.0 | 3473.0 | 8.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | WEDNESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 1 | 0.572739 | 0.657784 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 | 0.0 | LOW | HIGH | SENIORS |
| 307369 | 456097 | 0 | Revolving loans | M | N | Y | 0 | 112500.000 | 180000.0 | 9000.0 | 180000.0 | Unaccompanied | Working | Secondary / secondary special | Single / not married | With parents | 0.022800 | 7820.0 | 705.0 | 2766.0 | 504.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 1.0 | 2 | 2 | SATURDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 1 | 0.135915 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -54.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | LOW | VLOW | TEENAGE |
| 307370 | 456098 | 0 | Cash loans | F | N | N | 1 | 67500.000 | 177903.0 | 14391.0 | 148500.0 | Unaccompanied | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.009549 | 12857.0 | 892.0 | 997.0 | 4843.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 3.0 | 2 | 2 | FRIDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 1 | 0.309629 | 0.355639 | 5.0 | 0.0 | 5.0 | 0.0 | -1298.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 8.0 | VLOW | VLOW | MIDDLE-AGE |
| 307371 | 456099 | 0 | Cash loans | M | Y | Y | 0 | 270000.000 | 1042560.0 | 66757.5 | 900000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.011703 | 13384.0 | 4492.0 | 104.0 | 4648.0 | 8.0 | 1 | 1 | 0 | 1 | 1 | 0 | Drivers | 2.0 | 2 | 2 | WEDNESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | 0.758844 | 0.408359 | 0.0 | 0.0 | 0.0 | 0.0 | -3384.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | VHIGH | VHIGH | MIDDLE-AGE |
| 307372 | 456100 | 0 | Revolving loans | F | N | Y | 0 | 63000.000 | 135000.0 | 6750.0 | 135000.0 | Family | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.003069 | 16557.0 | 1277.0 | 810.0 | 99.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 2.0 | 3 | 3 | WEDNESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.472924 | 0.853731 | 0.0 | 0.0 | 0.0 | 0.0 | -426.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | VLOW | VLOW | SENIORS |
| 307373 | 456101 | 0 | Cash loans | M | N | Y | 1 | 81000.000 | 364896.0 | 16200.0 | 315000.0 | Family | Working | Secondary / secondary special | Married | House / apartment | 0.024610 | 10899.0 | 1956.0 | 2174.0 | 3063.0 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | Laborers | 3.0 | 2 | 2 | SATURDAY | 11 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | 0.582720 | 0.279335 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | VLOW | LOW | MIDDLE-AGE |
| 307375 | 456103 | 0 | Cash loans | F | N | Y | 0 | 202500.000 | 494550.0 | 42574.5 | 450000.0 | Unaccompanied | State servant | Higher education | Married | House / apartment | 0.011657 | 21447.0 | 924.0 | 287.0 | 4459.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Medicine staff | 2.0 | 1 | 1 | MONDAY | 15 | 0 | 1 | 1 | 0 | 0 | 0 | Other | 0.661451 | 0.259468 | 0.0 | 0.0 | 0.0 | 0.0 | -1075.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 | HIGH | MEDIOCRE | SENIORS |
| 307376 | 456104 | 0 | Cash loans | M | N | N | 0 | 76500.000 | 157914.0 | 16884.0 | 139500.0 | Unaccompanied | Working | Secondary / secondary special | Single / not married | House / apartment | 0.035792 | 9967.0 | 178.0 | 3990.0 | 2643.0 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | Low-skill Laborers | 1.0 | 2 | 2 | TUESDAY | 13 | 0 | 0 | 0 | 0 | 1 | 1 | Industry: type 3 | 0.322949 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1525.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | VLOW | VLOW | MIDDLE-AGE |
| 307377 | 456105 | 0 | Cash loans | M | Y | N | 0 | 225000.000 | 1005120.0 | 29389.5 | 720000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.035792 | 13629.0 | 1705.0 | 7456.0 | 1050.0 | 2.0 | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 2.0 | 2 | 2 | FRIDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.663085 | NaN | 6.0 | 3.0 | 6.0 | 2.0 | -1570.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | HIGH | VHIGH | MIDDLE-AGE |
| 307378 | 456106 | 0 | Cash loans | M | N | N | 0 | 112500.000 | 284400.0 | 16456.5 | 225000.0 | Unaccompanied | Working | Secondary / secondary special | Civil marriage | Rented apartment | 0.031329 | 16083.0 | 411.0 | 3407.0 | 3320.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | WEDNESDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Construction | 0.288490 | 0.540654 | 2.0 | 1.0 | 2.0 | 1.0 | -323.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | LOW | LOW | MIDDLE-AGE |
| 307379 | 456107 | 0 | Cash loans | M | Y | Y | 1 | 225000.000 | 1437799.5 | 42169.5 | 1255500.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.003069 | 14512.0 | 2044.0 | 1525.0 | 4665.0 | 11.0 | 1 | 1 | 0 | 1 | 0 | 0 | High skill tech staff | 3.0 | 3 | 3 | FRIDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Construction | 0.594390 | 0.629674 | 1.0 | 0.0 | 1.0 | 0.0 | -937.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | HIGH | VHIGH | MIDDLE-AGE |
| 307381 | 456109 | 0 | Revolving loans | M | N | N | 0 | 180000.000 | 270000.0 | 13500.0 | 270000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.003069 | 20224.0 | 2637.0 | 8798.0 | 3625.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Drivers | 2.0 | 3 | 3 | THURSDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | 0.674328 | 0.719491 | 1.0 | 0.0 | 1.0 | 0.0 | -1922.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | HIGH | LOW | SENIORS |
| 307382 | 456110 | 0 | Revolving loans | M | Y | Y | 2 | 180000.000 | 180000.0 | 9000.0 | 180000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.006629 | 12591.0 | 3182.0 | 72.0 | 4629.0 | 16.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 4.0 | 2 | 2 | WEDNESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.616891 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -152.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | HIGH | VLOW | MIDDLE-AGE |
| 307384 | 456113 | 0 | Cash loans | M | N | Y | 3 | 180000.000 | 1096020.0 | 56092.5 | 900000.0 | Other_B | Commercial associate | Secondary / secondary special | Civil marriage | House / apartment | 0.032561 | 10426.0 | 2056.0 | 1780.0 | 3092.0 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 5.0 | 1 | 1 | SUNDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Government | NaN | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1780.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | HIGH | VHIGH | MIDDLE-AGE |
| 307385 | 456117 | 0 | Cash loans | M | Y | N | 1 | 67500.000 | 490536.0 | 23989.5 | 405000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.003813 | 12183.0 | 808.0 | 106.0 | 79.0 | 30.0 | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 3.0 | 2 | 2 | MONDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.357649 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -266.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | VLOW | MEDIOCRE | MIDDLE-AGE |
| 307386 | 456118 | 0 | Cash loans | M | N | Y | 0 | 135000.000 | 995643.0 | 33034.5 | 859500.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.004960 | 12544.0 | 2081.0 | 3949.0 | 4095.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Drivers | 2.0 | 2 | 2 | FRIDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.743712 | 0.604113 | 0.0 | 0.0 | 0.0 | 0.0 | -2115.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | LOW | VHIGH | MIDDLE-AGE |
| 307387 | 456121 | 0 | Cash loans | F | N | Y | 0 | 81000.000 | 314100.0 | 15111.0 | 225000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.028663 | 23737.0 | 365243.0 | 2262.0 | 4407.0 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.312901 | 0.832785 | 0.0 | 0.0 | 0.0 | 0.0 | -301.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | VLOW | LOW | SENIORS |
| 307388 | 456124 | 0 | Cash loans | F | N | Y | 0 | 90000.000 | 625536.0 | 21510.0 | 540000.0 | Unaccompanied | Commercial associate | Incomplete higher | Widow | House / apartment | 0.025164 | 20800.0 | 4004.0 | 8743.0 | 4242.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 1.0 | 2 | 2 | WEDNESDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Kindergarten | 0.602263 | 0.680139 | 3.0 | 0.0 | 3.0 | 0.0 | -867.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | VLOW | HIGH | SENIORS |
| 307389 | 456125 | 0 | Cash loans | F | N | Y | 0 | 315000.000 | 1391130.0 | 77809.5 | 1305000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.072508 | 21746.0 | 365243.0 | 4715.0 | 4544.0 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 1 | 1 | THURSDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.746573 | 0.515495 | 3.0 | 0.0 | 3.0 | 0.0 | -1471.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VHIGH | VHIGH | SENIORS |
| 307390 | 456126 | 0 | Cash loans | F | Y | Y | 0 | 202500.000 | 544500.0 | 15921.0 | 544500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.010966 | 21305.0 | 365243.0 | 1229.0 | 3502.0 | 7.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.677059 | 0.379100 | 1.0 | 0.0 | 1.0 | 0.0 | -1025.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 8.0 | HIGH | MEDIOCRE | SENIORS |
| 307391 | 456127 | 0 | Cash loans | M | N | N | 0 | 157500.000 | 183384.0 | 19588.5 | 162000.0 | Unaccompanied | Working | Secondary / secondary special | Married | Municipal apartment | 0.018634 | 13768.0 | 2496.0 | 1385.0 | 3888.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.426249 | 0.465069 | 2.0 | 0.0 | 2.0 | 0.0 | -842.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | MEDIOCRE | VLOW | MIDDLE-AGE |
| 307392 | 456128 | 0 | Cash loans | F | N | Y | 0 | 108000.000 | 506925.0 | 49513.5 | 481500.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.031329 | 21748.0 | 4196.0 | 12372.0 | 4798.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | SATURDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | 0.548645 | 0.600658 | 7.0 | 0.0 | 7.0 | 0.0 | -1193.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 4.0 | LOW | MEDIOCRE | SENIORS |
| 307393 | 456129 | 0 | Cash loans | M | N | Y | 0 | 135000.000 | 298512.0 | 29655.0 | 270000.0 | Unaccompanied | Working | Secondary / secondary special | Single / not married | House / apartment | 0.008019 | 9489.0 | 1640.0 | 7058.0 | 2162.0 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | Drivers | 1.0 | 2 | 2 | THURSDAY | 18 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.544743 | 0.443615 | 1.0 | 0.0 | 1.0 | 0.0 | -900.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | LOW | LOW | MIDDLE-AGE |
| 307394 | 456130 | 0 | Cash loans | F | Y | Y | 0 | 202500.000 | 753840.0 | 22171.5 | 540000.0 | Unaccompanied | Working | Lower secondary | Married | House / apartment | 0.030755 | 14109.0 | 7499.0 | 7119.0 | 4349.0 | 28.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | TUESDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Industry: type 11 | 0.382095 | 0.754406 | 0.0 | 0.0 | 0.0 | 0.0 | -1648.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | HIGH | HIGH | MIDDLE-AGE |
| 307395 | 456131 | 0 | Cash loans | F | N | Y | 0 | 69300.000 | 229500.0 | 8239.5 | 229500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Single / not married | House / apartment | 0.014520 | 22915.0 | 365243.0 | 3613.0 | 3877.0 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | THURSDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.353855 | 0.484851 | 0.0 | 0.0 | 0.0 | 0.0 | -1518.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 | 3.0 | VLOW | VLOW | SENIORS |
| 307396 | 456132 | 0 | Cash loans | F | N | Y | 2 | 225000.000 | 720000.0 | 21051.0 | 720000.0 | Unaccompanied | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.005144 | 14623.0 | 1084.0 | 5516.0 | 5535.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Cooking staff | 4.0 | 2 | 2 | WEDNESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | School | 0.598837 | 0.656158 | 2.0 | 0.0 | 2.0 | 0.0 | -894.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | 2.0 | HIGH | HIGH | MIDDLE-AGE |
| 307397 | 456133 | 0 | Cash loans | M | N | Y | 0 | 67500.000 | 47970.0 | 5296.5 | 45000.0 | Unaccompanied | State servant | Secondary / secondary special | Married | House / apartment | 0.035792 | 14698.0 | 1420.0 | 3338.0 | 4404.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 2.0 | 2 | 2 | FRIDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Government | 0.684615 | NaN | 5.0 | 0.0 | 5.0 | 0.0 | -1386.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | VLOW | VLOW | MIDDLE-AGE |
| 307398 | 456134 | 0 | Cash loans | F | Y | Y | 0 | 135000.000 | 1718473.5 | 47385.0 | 1345500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.025164 | 18980.0 | 365243.0 | 245.0 | 2513.0 | 9.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.266520 | 0.357293 | 0.0 | 0.0 | 0.0 | 0.0 | -1695.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | LOW | VHIGH | SENIORS |
| 307399 | 456135 | 0 | Revolving loans | F | N | Y | 0 | 157500.000 | 382500.0 | 19125.0 | 382500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.028663 | 22554.0 | 365243.0 | 60.0 | 4051.0 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | TUESDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.165364 | 0.644679 | NaN | NaN | NaN | NaN | -633.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 | MEDIOCRE | LOW | SENIORS |
| 307400 | 456136 | 0 | Cash loans | F | N | Y | 0 | 270000.000 | 254700.0 | 14751.0 | 225000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Widow | House / apartment | 0.032561 | 24185.0 | 2962.0 | 6595.0 | 4198.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Managers | 1.0 | 1 | 1 | SATURDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | School | 0.794105 | 0.723837 | 0.0 | 0.0 | 0.0 | 0.0 | -2897.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 3.0 | VHIGH | VLOW | SENIORS |
| 307401 | 456137 | 0 | Cash loans | F | N | Y | 0 | 190350.000 | 675000.0 | 21906.0 | 675000.0 | Unaccompanied | Pensioner | Lower secondary | Single / not married | House / apartment | 0.022800 | 20839.0 | 365243.0 | 13162.0 | 4281.0 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | THURSDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.690215 | 0.303146 | 0.0 | 0.0 | 0.0 | 0.0 | -609.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | HIGH | HIGH | SENIORS |
| 307402 | 456138 | 0 | Cash loans | M | N | Y | 0 | 49500.000 | 432661.5 | 26419.5 | 373500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.006629 | 20411.0 | 365243.0 | 9617.0 | 2453.0 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 7 | 0 | 0 | 0 | 1 | 0 | 0 | XNA | 0.310433 | NaN | 2.0 | 0.0 | 2.0 | 0.0 | -391.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VLOW | MEDIOCRE | SENIORS |
| 307403 | 456139 | 0 | Cash loans | F | N | Y | 0 | 90000.000 | 203760.0 | 13747.5 | 180000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.019689 | 23340.0 | 365243.0 | 7902.0 | 3982.0 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | MONDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.194540 | 0.484851 | 1.0 | 1.0 | 1.0 | 1.0 | -1696.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | VLOW | VLOW | SENIORS |
| 307405 | 456141 | 0 | Cash loans | F | Y | Y | 1 | 112500.000 | 237024.0 | 18855.0 | 180000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.030755 | 14975.0 | 7927.0 | 5111.0 | 5116.0 | 3.0 | 1 | 1 | 0 | 1 | 0 | 0 | Medicine staff | 3.0 | 2 | 2 | WEDNESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Medicine | 0.665586 | 0.605836 | 0.0 | 0.0 | 0.0 | 0.0 | -617.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 | LOW | VLOW | MIDDLE-AGE |
| 307406 | 456142 | 0 | Cash loans | F | N | N | 1 | 360000.000 | 1417185.0 | 39100.5 | 1237500.0 | Unaccompanied | Working | Higher education | Single / not married | House / apartment | 0.018029 | 14010.0 | 1187.0 | 4776.0 | 4796.0 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | Core staff | 2.0 | 3 | 3 | FRIDAY | 11 | 0 | 0 | 0 | 0 | 1 | 1 | School | 0.557887 | 0.477649 | 3.0 | 0.0 | 3.0 | 0.0 | -1285.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | VHIGH | VHIGH | MIDDLE-AGE |
| 307408 | 456144 | 0 | Cash loans | F | N | Y | 0 | 65250.000 | 123637.5 | 8734.5 | 112500.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Civil marriage | House / apartment | 0.007020 | 14483.0 | 976.0 | 8617.0 | 4389.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 1 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.551659 | NaN | 4.0 | 0.0 | 4.0 | 0.0 | -1723.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | VLOW | VLOW | MIDDLE-AGE |
| 307409 | 456145 | 0 | Cash loans | F | N | N | 0 | 162000.000 | 900000.0 | 29034.0 | 900000.0 | Unaccompanied | Commercial associate | Higher education | Married | With parents | 0.026392 | 10592.0 | 2189.0 | 1412.0 | 2208.0 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | MONDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.705375 | 0.652897 | 0.0 | 0.0 | 0.0 | 0.0 | -1519.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | MEDIOCRE | HIGH | MIDDLE-AGE |
| 307410 | 456146 | 0 | Cash loans | F | N | Y | 0 | 99000.000 | 269550.0 | 14242.5 | 225000.0 | Spouse, partner | Working | Secondary / secondary special | Married | House / apartment | 0.030755 | 16054.0 | 9501.0 | 391.0 | 4342.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | Core staff | 2.0 | 2 | 2 | WEDNESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | School | 0.669174 | 0.665855 | 0.0 | 0.0 | 0.0 | 0.0 | -2852.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | VLOW | LOW | MIDDLE-AGE |
| 307411 | 456147 | 0 | Cash loans | F | Y | Y | 2 | 90000.000 | 1078200.0 | 31653.0 | 900000.0 | Family | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.003069 | 14010.0 | 1533.0 | 3427.0 | 4168.0 | 13.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 4.0 | 3 | 3 | FRIDAY | 12 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | 0.443849 | 0.678568 | 2.0 | 0.0 | 2.0 | 0.0 | -1193.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | VLOW | VHIGH | MIDDLE-AGE |
| 307412 | 456148 | 0 | Cash loans | M | Y | Y | 0 | 180000.000 | 589045.5 | 30204.0 | 508500.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.008230 | 17048.0 | 1471.0 | 9633.0 | 578.0 | 6.0 | 1 | 1 | 0 | 1 | 0 | 0 | Drivers | 2.0 | 2 | 2 | SATURDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.162231 | 0.835777 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | HIGH | MEDIOCRE | SENIORS |
| 307413 | 456149 | 0 | Cash loans | F | Y | Y | 0 | 90000.000 | 327024.0 | 21982.5 | 270000.0 | Unaccompanied | Working | Secondary / secondary special | Single / not married | House / apartment | 0.020713 | 11478.0 | 1056.0 | 5400.0 | 3733.0 | 20.0 | 1 | 1 | 0 | 1 | 0 | 0 | High skill tech staff | 1.0 | 3 | 3 | SATURDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Transport: type 3 | 0.359983 | 0.678568 | 5.0 | 2.0 | 5.0 | 2.0 | -955.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | VLOW | LOW | MIDDLE-AGE |
| 307414 | 456150 | 0 | Cash loans | F | N | N | 0 | 90000.000 | 270000.0 | 16645.5 | 270000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Separated | House / apartment | 0.018209 | 20768.0 | 365243.0 | 12176.0 | 4307.0 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 3 | 3 | SUNDAY | 7 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.319830 | 0.617826 | 4.0 | 0.0 | 4.0 | 0.0 | -1746.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 | VLOW | LOW | SENIORS |
| 307415 | 456151 | 0 | Cash loans | F | N | N | 0 | 90000.000 | 369720.0 | 22747.5 | 292500.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.031329 | 15450.0 | 4406.0 | 1816.0 | 3059.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 2.0 | 2 | 2 | FRIDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.499351 | 0.591977 | 9.0 | 0.0 | 9.0 | 0.0 | -2508.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | 8.0 | VLOW | LOW | MIDDLE-AGE |
| 307416 | 456152 | 0 | Revolving loans | F | N | N | 1 | 112500.000 | 450000.0 | 22500.0 | 450000.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.007114 | 12263.0 | 4095.0 | 6407.0 | 3351.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Medicine staff | 3.0 | 2 | 2 | MONDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Kindergarten | 0.619409 | 0.417100 | 0.0 | 0.0 | 0.0 | 0.0 | -1195.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 3.0 | LOW | MEDIOCRE | MIDDLE-AGE |
| 307417 | 456153 | 0 | Cash loans | F | N | N | 0 | 157500.000 | 1282500.0 | 48847.5 | 1282500.0 | Unaccompanied | Pensioner | Higher education | Civil marriage | House / apartment | 0.030755 | 22672.0 | 365243.0 | 8334.0 | 4924.0 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | MONDAY | 19 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.710066 | 0.497469 | 0.0 | 0.0 | 0.0 | 0.0 | -2054.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | MEDIOCRE | VHIGH | SENIORS |
| 307418 | 456154 | 0 | Cash loans | M | Y | Y | 0 | 157500.000 | 144000.0 | 9751.5 | 144000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.010500 | 18139.0 | 688.0 | 2899.0 | 1697.0 | 1.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 3 | SATURDAY | 12 | 0 | 0 | 0 | 0 | 1 | 1 | Industry: type 4 | 0.333707 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -282.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | MEDIOCRE | VLOW | SENIORS |
| 307419 | 456155 | 0 | Cash loans | F | N | Y | 0 | 202500.000 | 1971072.0 | 68643.0 | 1800000.0 | Family | Pensioner | Higher education | Married | House / apartment | 0.008575 | 22802.0 | 365243.0 | 8689.0 | 5049.0 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | FRIDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.668457 | 0.738020 | 4.0 | 0.0 | 4.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | HIGH | VHIGH | SENIORS |
| 307420 | 456156 | 0 | Cash loans | M | N | N | 0 | 90000.000 | 119448.0 | 7632.0 | 94500.0 | Unaccompanied | Working | Secondary / secondary special | Single / not married | House / apartment | 0.024610 | 18324.0 | 1127.0 | 9807.0 | 1855.0 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | WEDNESDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Transport: type 4 | 0.134254 | 0.644679 | 5.0 | 0.0 | 5.0 | 0.0 | -1366.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | VLOW | VLOW | SENIORS |
| 307421 | 456157 | 0 | Cash loans | F | N | Y | 0 | 193500.000 | 284400.0 | 16326.0 | 225000.0 | Unaccompanied | Pensioner | Higher education | Civil marriage | House / apartment | 0.019101 | 23922.0 | 365243.0 | 6338.0 | 4139.0 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | SATURDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.715572 | 0.431192 | 0.0 | 0.0 | 0.0 | 0.0 | -561.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | 4.0 | HIGH | LOW | SENIORS |
| 307422 | 456158 | 0 | Revolving loans | M | Y | Y | 2 | 234000.000 | 450000.0 | 22500.0 | 450000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.022800 | 11943.0 | 3214.0 | 5994.0 | 3520.0 | 7.0 | 1 | 1 | 0 | 1 | 0 | 0 | Drivers | 4.0 | 2 | 2 | FRIDAY | 13 | 0 | 1 | 1 | 0 | 1 | 1 | Industry: type 9 | 0.414246 | 0.384207 | 0.0 | 0.0 | 0.0 | 0.0 | -1911.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | VHIGH | MEDIOCRE | MIDDLE-AGE |
| 307423 | 456159 | 0 | Cash loans | F | N | Y | 0 | 112500.000 | 518562.0 | 25078.5 | 463500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.019689 | 21259.0 | 365243.0 | 5305.0 | 4213.0 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | MONDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.220484 | 0.387625 | 2.0 | 1.0 | 2.0 | 1.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 4.0 | LOW | MEDIOCRE | SENIORS |
| 307424 | 456160 | 0 | Cash loans | F | Y | Y | 0 | 270000.000 | 1298970.0 | 46786.5 | 1147500.0 | Family | State servant | Secondary / secondary special | Married | House / apartment | 0.018850 | 19351.0 | 875.0 | 3146.0 | 2906.0 | 21.0 | 1 | 1 | 0 | 1 | 0 | 1 | Cleaning staff | 2.0 | 2 | 2 | SATURDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.577996 | 0.789880 | 0.0 | 0.0 | 0.0 | 0.0 | -2040.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | VHIGH | VHIGH | SENIORS |
| 307425 | 456161 | 0 | Cash loans | F | N | N | 0 | 270000.000 | 1262583.0 | 40860.0 | 1102500.0 | Unaccompanied | Working | Higher education | Single / not married | House / apartment | 0.025164 | 15164.0 | 4678.0 | 325.0 | 4267.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | FRIDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.645418 | 0.510090 | 12.0 | 0.0 | 12.0 | 0.0 | -1469.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 | VHIGH | VHIGH | MIDDLE-AGE |
| 307426 | 456162 | 0 | Cash loans | F | N | N | 0 | 112500.000 | 700830.0 | 22738.5 | 585000.0 | Unaccompanied | Working | Incomplete higher | Single / not married | House / apartment | 0.019689 | 8676.0 | 813.0 | 4163.0 | 1363.0 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | Core staff | 1.0 | 2 | 2 | FRIDAY | 17 | 0 | 0 | 0 | 1 | 1 | 0 | Trade: type 2 | 0.699373 | 0.171468 | 0.0 | 0.0 | 0.0 | 0.0 | -589.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | LOW | HIGH | TEENAGE |
| 307427 | 456163 | 0 | Cash loans | F | N | Y | 0 | 135000.000 | 170640.0 | 11034.0 | 135000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.035792 | 21755.0 | 365243.0 | 2567.0 | 5031.0 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | MONDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.355126 | 0.363945 | 0.0 | 0.0 | 0.0 | 0.0 | -2562.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | LOW | VLOW | SENIORS |
| 307428 | 456164 | 0 | Cash loans | F | N | N | 1 | 112500.000 | 334152.0 | 18256.5 | 270000.0 | Unaccompanied | Working | Secondary / secondary special | Single / not married | With parents | 0.022800 | 8146.0 | 1197.0 | 2827.0 | 813.0 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 10 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | 0.203856 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1101.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | LOW | LOW | TEENAGE |
| 307429 | 456165 | 0 | Cash loans | M | N | Y | 0 | 135000.000 | 840951.0 | 42934.5 | 679500.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.009175 | 18146.0 | 379.0 | 10348.0 | 1691.0 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | Drivers | 2.0 | 2 | 2 | SUNDAY | 9 | 0 | 0 | 0 | 0 | 1 | 1 | Agriculture | 0.655284 | 0.235311 | 1.0 | 0.0 | 1.0 | 0.0 | -124.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | LOW | HIGH | SENIORS |
| 307431 | 456172 | 0 | Cash loans | F | Y | Y | 0 | 76500.000 | 163098.0 | 16015.5 | 153000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.018801 | 21027.0 | 365243.0 | 2653.0 | 4509.0 | 10.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.092283 | 0.739412 | 0.0 | 0.0 | 0.0 | 0.0 | -1121.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VLOW | VLOW | SENIORS |
| 307432 | 456173 | 0 | Cash loans | M | Y | Y | 0 | 189000.000 | 675000.0 | 19737.0 | 675000.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.025164 | 14473.0 | 2529.0 | 693.0 | 5129.0 | 2.0 | 1 | 1 | 1 | 1 | 1 | 0 | Managers | 2.0 | 2 | 2 | WEDNESDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.631091 | 0.680139 | 0.0 | 0.0 | 0.0 | 0.0 | -2248.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | HIGH | HIGH | MIDDLE-AGE |
| 307433 | 456174 | 0 | Cash loans | F | N | N | 2 | 135000.000 | 215640.0 | 17064.0 | 180000.0 | Spouse, partner | Working | Secondary / secondary special | Married | House / apartment | 0.018850 | 11274.0 | 798.0 | 2160.0 | 2222.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 4.0 | 2 | 2 | FRIDAY | 15 | 0 | 0 | 0 | 1 | 1 | 0 | Self-employed | 0.662811 | 0.783832 | 6.0 | 0.0 | 6.0 | 0.0 | -2265.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | LOW | VLOW | MIDDLE-AGE |
| 307434 | 456175 | 0 | Cash loans | F | Y | Y | 0 | 81000.000 | 180000.0 | 12658.5 | 180000.0 | Unaccompanied | Working | Secondary / secondary special | Single / not married | House / apartment | 0.015221 | 21906.0 | 2638.0 | 504.0 | 4108.0 | 16.0 | 1 | 1 | 0 | 1 | 1 | 0 | Cleaning staff | 1.0 | 2 | 2 | TUESDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.622929 | 0.689479 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 | VLOW | VLOW | SENIORS |
| 307436 | 456177 | 0 | Cash loans | M | N | Y | 0 | 247500.000 | 900000.0 | 50386.5 | 900000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.010006 | 11368.0 | 1889.0 | 417.0 | 414.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Managers | 2.0 | 2 | 2 | TUESDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.716767 | 0.401407 | 1.0 | 0.0 | 1.0 | 0.0 | -15.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VHIGH | HIGH | MIDDLE-AGE |
| 307437 | 456178 | 0 | Cash loans | F | N | Y | 0 | 440100.000 | 713889.0 | 45751.5 | 661500.0 | Unaccompanied | Commercial associate | Higher education | Married | House / apartment | 0.072508 | 18047.0 | 1886.0 | 3146.0 | 1532.0 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | Managers | 2.0 | 1 | 1 | MONDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.653572 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -406.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | VHIGH | HIGH | SENIORS |
| 307438 | 456179 | 0 | Cash loans | F | N | Y | 0 | 126000.000 | 254700.0 | 24939.0 | 225000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.018209 | 24857.0 | 365243.0 | 12253.0 | 4801.0 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 3 | 3 | MONDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.500401 | 0.549597 | 0.0 | 0.0 | 0.0 | 0.0 | -1582.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 | LOW | VLOW | SENIORS |
| 307439 | 456180 | 0 | Cash loans | M | Y | Y | 1 | 135000.000 | 90000.0 | 9580.5 | 90000.0 | Family | Working | Secondary / secondary special | Married | House / apartment | 0.026392 | 15921.0 | 2175.0 | 6233.0 | 4242.0 | 3.0 | 1 | 1 | 1 | 1 | 1 | 0 | Managers | 3.0 | 2 | 2 | FRIDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Emergency | 0.511092 | 0.683269 | 0.0 | 0.0 | 0.0 | 0.0 | -1406.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | LOW | VLOW | MIDDLE-AGE |
| 307440 | 456181 | 0 | Cash loans | F | N | N | 0 | 76500.000 | 1240614.0 | 44559.0 | 1111500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.016612 | 17060.0 | 365243.0 | 4388.0 | 609.0 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.683457 | 0.574447 | 0.0 | 0.0 | 0.0 | 0.0 | -105.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VLOW | VHIGH | SENIORS |
| 307441 | 456182 | 0 | Revolving loans | F | N | Y | 2 | 90000.000 | 270000.0 | 13500.0 | 270000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.018634 | 13959.0 | 2190.0 | 3932.0 | 4562.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 4.0 | 2 | 2 | TUESDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.452707 | NaN | 6.0 | 0.0 | 6.0 | 0.0 | -414.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VLOW | LOW | MIDDLE-AGE |
| 307442 | 456183 | 0 | Cash loans | F | Y | Y | 0 | 180000.000 | 990000.0 | 42075.0 | 990000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.010147 | 21685.0 | 365243.0 | 14150.0 | 4784.0 | 30.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.268981 | 0.396220 | 0.0 | 0.0 | 0.0 | 0.0 | -344.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | HIGH | VHIGH | SENIORS |
| 307444 | 456185 | 0 | Cash loans | F | N | Y | 0 | 135000.000 | 528633.0 | 22527.0 | 472500.0 | Family | Working | Secondary / secondary special | Married | House / apartment | 0.019101 | 11193.0 | 4606.0 | 2769.0 | 2769.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 13 | 0 | 0 | 0 | 0 | 1 | 1 | Trade: type 7 | 0.600160 | 0.621226 | 0.0 | 0.0 | 0.0 | 0.0 | -1023.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 3.0 | LOW | MEDIOCRE | MIDDLE-AGE |
| 307446 | 456187 | 0 | Cash loans | M | Y | Y | 1 | 315000.000 | 1175314.5 | 38974.5 | 1053000.0 | Unaccompanied | Working | Incomplete higher | Married | House / apartment | 0.018801 | 16329.0 | 3389.0 | 8850.0 | 4351.0 | 15.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 3.0 | 2 | 2 | SATURDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.599436 | 0.306202 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | VHIGH | VHIGH | MIDDLE-AGE |
| 307447 | 456188 | 0 | Cash loans | F | N | Y | 0 | 54000.000 | 315000.0 | 21924.0 | 315000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | Municipal apartment | 0.006207 | 20362.0 | 365243.0 | 9841.0 | 3631.0 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | WEDNESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.312168 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -2950.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | VLOW | LOW | SENIORS |
| 307448 | 456190 | 0 | Cash loans | M | Y | N | 1 | 450000.000 | 545040.0 | 25407.0 | 450000.0 | Unaccompanied | State servant | Higher education | Married | House / apartment | 0.019101 | 11523.0 | 2500.0 | 7.0 | 2062.0 | 13.0 | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 3.0 | 2 | 2 | TUESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Police | 0.253372 | 0.701696 | 5.0 | 1.0 | 5.0 | 0.0 | -1938.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VHIGH | MEDIOCRE | MIDDLE-AGE |
| 307449 | 456191 | 0 | Cash loans | F | Y | N | 2 | 153000.000 | 1350000.0 | 46926.0 | 1350000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.030755 | 13128.0 | 397.0 | 3964.0 | 2745.0 | 14.0 | 1 | 1 | 1 | 1 | 1 | 0 | NaN | 4.0 | 2 | 2 | THURSDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Restaurant | 0.541303 | 0.754406 | 0.0 | 0.0 | 0.0 | 0.0 | -741.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 1.0 | MEDIOCRE | VHIGH | MIDDLE-AGE |
| 307450 | 456192 | 0 | Cash loans | F | N | N | 1 | 135000.000 | 450000.0 | 24412.5 | 450000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.018801 | 11280.0 | 517.0 | 910.0 | 885.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | Sales staff | 3.0 | 2 | 2 | THURSDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.092387 | 0.425893 | 0.0 | 0.0 | 0.0 | 0.0 | -285.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | LOW | MEDIOCRE | MIDDLE-AGE |
| 307451 | 456193 | 0 | Cash loans | M | N | N | 0 | 157500.000 | 1332000.0 | 39078.0 | 1332000.0 | Unaccompanied | Working | Higher education | Civil marriage | House / apartment | 0.008575 | 15552.0 | 302.0 | 7785.0 | 4586.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | Security staff | 2.0 | 2 | 2 | THURSDAY | 15 | 0 | 1 | 1 | 0 | 1 | 1 | Security | 0.661427 | 0.591977 | 0.0 | 0.0 | 0.0 | 0.0 | -390.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | MEDIOCRE | VHIGH | MIDDLE-AGE |
| 307452 | 456194 | 0 | Cash loans | M | N | Y | 1 | 157500.000 | 225000.0 | 15165.0 | 225000.0 | Unaccompanied | Commercial associate | Incomplete higher | Married | House / apartment | 0.016612 | 13170.0 | 880.0 | 2665.0 | 4060.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 3.0 | 2 | 2 | WEDNESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.427019 | 0.652897 | 0.0 | 0.0 | 0.0 | 0.0 | -2615.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | MEDIOCRE | VLOW | MIDDLE-AGE |
| 307453 | 456195 | 0 | Cash loans | F | Y | Y | 0 | 94500.000 | 270000.0 | 15075.0 | 270000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.028663 | 20246.0 | 5452.0 | 5480.0 | 3784.0 | 5.0 | 1 | 1 | 1 | 1 | 1 | 0 | Cleaning staff | 2.0 | 2 | 2 | TUESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | 0.534302 | 0.723837 | 0.0 | 0.0 | 0.0 | 0.0 | -2299.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | VLOW | LOW | SENIORS |
| 307454 | 456196 | 0 | Revolving loans | F | N | Y | 2 | 202500.000 | 360000.0 | 18000.0 | 360000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Civil marriage | House / apartment | 0.035792 | 12778.0 | 3582.0 | 6804.0 | 4414.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 4.0 | 2 | 2 | WEDNESDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.680098 | 0.638044 | 0.0 | 0.0 | 0.0 | 0.0 | -2326.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 1.0 | HIGH | LOW | MIDDLE-AGE |
| 307455 | 456197 | 0 | Cash loans | F | N | Y | 0 | 112500.000 | 239850.0 | 23364.0 | 225000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.031329 | 15034.0 | 2079.0 | 4592.0 | 4592.0 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | Cooking staff | 2.0 | 2 | 2 | MONDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Kindergarten | 0.753453 | 0.832785 | 0.0 | 0.0 | 0.0 | 0.0 | -1635.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | LOW | VLOW | MIDDLE-AGE |
| 307456 | 456198 | 0 | Cash loans | M | Y | Y | 0 | 225000.000 | 959017.5 | 49095.0 | 787500.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.035792 | 12560.0 | 3735.0 | 6599.0 | 4817.0 | 12.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 2 | 2 | SATURDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.421987 | NaN | 2.0 | 0.0 | 2.0 | 0.0 | -125.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | HIGH | VHIGH | MIDDLE-AGE |
| 307457 | 456199 | 0 | Cash loans | M | Y | N | 1 | 382500.000 | 745429.5 | 24354.0 | 643500.0 | Unaccompanied | State servant | Secondary / secondary special | Married | House / apartment | 0.007020 | 14391.0 | 175.0 | 4213.0 | 4468.0 | 8.0 | 1 | 1 | 1 | 1 | 1 | 0 | Security staff | 3.0 | 2 | 2 | TUESDAY | 12 | 0 | 0 | 0 | 0 | 1 | 1 | Government | 0.575246 | 0.479449 | 0.0 | 0.0 | 0.0 | 0.0 | -1994.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | VHIGH | HIGH | MIDDLE-AGE |
| 307458 | 456200 | 0 | Cash loans | F | N | N | 1 | 157500.000 | 463500.0 | 16645.5 | 463500.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.030755 | 12741.0 | 5507.0 | 1392.0 | 2491.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Managers | 3.0 | 2 | 2 | MONDAY | 18 | 0 | 0 | 0 | 0 | 0 | 0 | School | 0.583947 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1669.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | MEDIOCRE | MEDIOCRE | MIDDLE-AGE |
| 307459 | 456201 | 0 | Cash loans | F | Y | Y | 3 | 135000.000 | 1024785.0 | 57222.0 | 922500.0 | Family | Working | Secondary / secondary special | Married | House / apartment | 0.008019 | 12549.0 | 424.0 | 6643.0 | 1536.0 | 10.0 | 1 | 1 | 0 | 1 | 0 | 0 | Accountants | 5.0 | 2 | 2 | THURSDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.513005 | 0.285180 | 0.0 | 0.0 | 0.0 | 0.0 | -656.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | LOW | VHIGH | MIDDLE-AGE |
| 307460 | 456203 | 0 | Cash loans | F | N | Y | 0 | 180000.000 | 247275.0 | 17338.5 | 225000.0 | Family | Pensioner | Secondary / secondary special | Married | House / apartment | 0.016612 | 24142.0 | 365243.0 | 7108.0 | 4111.0 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | THURSDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.666924 | 0.728141 | 0.0 | 0.0 | 0.0 | 0.0 | -1573.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | HIGH | VLOW | SENIORS |
| 307461 | 456204 | 0 | Cash loans | F | N | Y | 0 | 58500.000 | 528633.0 | 27121.5 | 472500.0 | Unaccompanied | State servant | Secondary / secondary special | Married | House / apartment | 0.020713 | 14582.0 | 1701.0 | 3449.0 | 5264.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Cooking staff | 2.0 | 3 | 3 | THURSDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Kindergarten | 0.503774 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1457.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | VLOW | MEDIOCRE | MIDDLE-AGE |
| 307462 | 456205 | 0 | Cash loans | F | N | N | 1 | 180000.000 | 835380.0 | 33259.5 | 675000.0 | Unaccompanied | Working | Secondary / secondary special | Civil marriage | House / apartment | 0.031329 | 13502.0 | 6564.0 | 6856.0 | 4461.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 3.0 | 2 | 2 | FRIDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Kindergarten | 0.590768 | 0.766234 | 4.0 | 0.0 | 4.0 | 0.0 | -1135.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | HIGH | HIGH | MIDDLE-AGE |
| 307463 | 456206 | 0 | Cash loans | F | N | Y | 0 | 157500.000 | 599778.0 | 26550.0 | 477000.0 | Unaccompanied | State servant | Secondary / secondary special | Civil marriage | House / apartment | 0.022800 | 17177.0 | 4439.0 | 10635.0 | 732.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Medicine staff | 2.0 | 2 | 2 | SUNDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.639970 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -2492.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | MEDIOCRE | MEDIOCRE | SENIORS |
| 307464 | 456207 | 0 | Revolving loans | F | N | Y | 0 | 247500.000 | 675000.0 | 33750.0 | 675000.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.046220 | 18008.0 | 1296.0 | 8268.0 | 1546.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Accountants | 2.0 | 1 | 1 | WEDNESDAY | 16 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.724419 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -148.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VHIGH | HIGH | SENIORS |
| 307465 | 456208 | 0 | Cash loans | F | N | Y | 1 | 135000.000 | 305955.0 | 21888.0 | 283500.0 | Unaccompanied | Working | Higher education | Civil marriage | House / apartment | 0.020246 | 9844.0 | 1266.0 | 7511.0 | 1053.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 3.0 | 3 | 3 | THURSDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Industry: type 12 | 0.240384 | 0.511892 | 2.0 | 0.0 | 2.0 | 0.0 | -499.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | LOW | LOW | MIDDLE-AGE |
| 307466 | 456209 | 0 | Cash loans | F | N | Y | 0 | 202500.000 | 703728.0 | 29943.0 | 607500.0 | Unaccompanied | Pensioner | Secondary / secondary special | Single / not married | House / apartment | 0.031329 | 22414.0 | 365243.0 | 11976.0 | 4171.0 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | MONDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.195625 | 0.360613 | 11.0 | 2.0 | 11.0 | 0.0 | -1667.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | HIGH | HIGH | SENIORS |
| 307467 | 456210 | 0 | Cash loans | F | N | Y | 0 | 90000.000 | 270000.0 | 10309.5 | 270000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.028663 | 10604.0 | 612.0 | 4672.0 | 3231.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | Cooking staff | 2.0 | 2 | 2 | MONDAY | 10 | 0 | 0 | 0 | 0 | 1 | 1 | Government | 0.479758 | 0.337673 | 0.0 | 0.0 | 0.0 | 0.0 | -2190.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | VLOW | LOW | MIDDLE-AGE |
| 307468 | 456211 | 0 | Cash loans | F | N | Y | 2 | 112500.000 | 592560.0 | 32274.0 | 450000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.018634 | 13388.0 | 3271.0 | 2316.0 | 5071.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Secretaries | 4.0 | 2 | 2 | MONDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Medicine | 0.554902 | 0.629674 | 0.0 | 0.0 | 0.0 | 0.0 | -385.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | LOW | MEDIOCRE | MIDDLE-AGE |
| 307469 | 456212 | 0 | Cash loans | F | N | Y | 1 | 135000.000 | 808650.0 | 23773.5 | 675000.0 | Unaccompanied | Commercial associate | Higher education | Married | House / apartment | 0.009657 | 18042.0 | 186.0 | 8350.0 | 1540.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 3.0 | 2 | 2 | WEDNESDAY | 12 | 0 | 0 | 0 | 0 | 1 | 1 | Self-employed | 0.131189 | 0.691021 | 6.0 | 0.0 | 6.0 | 0.0 | -1831.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | LOW | HIGH | SENIORS |
| 307470 | 456213 | 0 | Cash loans | F | Y | Y | 1 | 90000.000 | 258709.5 | 20439.0 | 234000.0 | Spouse, partner | Working | Secondary / secondary special | Married | House / apartment | 0.020246 | 14589.0 | 2145.0 | 2337.0 | 6211.0 | 18.0 | 1 | 1 | 1 | 1 | 1 | 0 | High skill tech staff | 3.0 | 3 | 3 | THURSDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.264486 | 0.565608 | 1.0 | 0.0 | 1.0 | 0.0 | -637.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 | VLOW | LOW | MIDDLE-AGE |
| 307471 | 456214 | 0 | Cash loans | M | Y | Y | 2 | 135000.000 | 360000.0 | 23004.0 | 360000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | With parents | 0.018209 | 17477.0 | 6045.0 | 9985.0 | 1008.0 | 16.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 4.0 | 3 | 3 | MONDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.502692 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -2159.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | LOW | LOW | SENIORS |
| 307473 | 456216 | 0 | Cash loans | F | N | N | 2 | 135000.000 | 1762110.0 | 48456.0 | 1575000.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.019689 | 13790.0 | 1878.0 | 3023.0 | 1798.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 4.0 | 2 | 2 | MONDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Other | 0.277728 | 0.771362 | 0.0 | 0.0 | 0.0 | 0.0 | -2538.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | LOW | VHIGH | MIDDLE-AGE |
| 307474 | 456217 | 0 | Cash loans | F | N | Y | 0 | 360000.000 | 796396.5 | 38443.5 | 643500.0 | Unaccompanied | State servant | Higher education | Civil marriage | House / apartment | 0.007020 | 18463.0 | 698.0 | 3168.0 | 2021.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Medicine staff | 2.0 | 2 | 2 | WEDNESDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Medicine | 0.547811 | 0.667458 | 0.0 | 0.0 | 0.0 | 0.0 | -1353.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 | VHIGH | HIGH | SENIORS |
| 307475 | 456218 | 0 | Cash loans | F | N | Y | 0 | 225000.000 | 1125000.0 | 40540.5 | 1125000.0 | Family | Commercial associate | Higher education | Married | House / apartment | 0.025164 | 19471.0 | 1864.0 | 322.0 | 2754.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 2.0 | 2 | 2 | THURSDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.440537 | 0.420611 | 0.0 | 0.0 | 0.0 | 0.0 | -549.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 2.0 | HIGH | VHIGH | SENIORS |
| 307476 | 456219 | 0 | Cash loans | F | N | Y | 1 | 112500.000 | 521280.0 | 31630.5 | 450000.0 | Spouse, partner | Working | Secondary / secondary special | Married | House / apartment | 0.006207 | 13346.0 | 1972.0 | 11.0 | 1537.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | Sales staff | 3.0 | 2 | 2 | SUNDAY | 10 | 0 | 0 | 0 | 0 | 1 | 1 | Self-employed | 0.226036 | 0.352340 | 3.0 | 0.0 | 3.0 | 0.0 | -396.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | LOW | MEDIOCRE | MIDDLE-AGE |
| 307477 | 456220 | 0 | Cash loans | F | N | N | 1 | 81000.000 | 1350000.0 | 39474.0 | 1350000.0 | Unaccompanied | State servant | Higher education | Married | Rented apartment | 0.024610 | 10567.0 | 3855.0 | 1260.0 | 2188.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 3.0 | 2 | 2 | FRIDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Government | 0.679122 | 0.647977 | 1.0 | 1.0 | 1.0 | 0.0 | -1594.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | VLOW | VHIGH | MIDDLE-AGE |
| 307479 | 456226 | 0 | Cash loans | F | Y | Y | 0 | 225000.000 | 500566.5 | 34969.5 | 472500.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.031329 | 14106.0 | 226.0 | 2463.0 | 933.0 | 11.0 | 1 | 1 | 0 | 1 | 0 | 0 | Managers | 2.0 | 2 | 2 | THURSDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Telecom | 0.737905 | 0.394495 | 0.0 | 0.0 | 0.0 | 0.0 | -611.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | HIGH | MEDIOCRE | MIDDLE-AGE |
| 307480 | 456227 | 0 | Cash loans | F | N | Y | 0 | 99000.000 | 247275.0 | 16479.0 | 225000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Separated | House / apartment | 0.007330 | 24911.0 | 365243.0 | 11211.0 | 4213.0 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 1.0 | 2 | 2 | MONDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.589906 | 0.520898 | 1.0 | 1.0 | 1.0 | 1.0 | -1775.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 | VLOW | VLOW | SENIORS |
| 307481 | 456228 | 0 | Cash loans | F | Y | N | 0 | 540000.000 | 545040.0 | 35617.5 | 450000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | Rented apartment | 0.032561 | 12847.0 | 328.0 | 2531.0 | 35.0 | 1.0 | 1 | 1 | 0 | 1 | 1 | 1 | Managers | 2.0 | 1 | 1 | MONDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.739703 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -1578.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | VHIGH | MEDIOCRE | MIDDLE-AGE |
| 307482 | 456229 | 0 | Revolving loans | F | N | Y | 1 | 270000.000 | 180000.0 | 9000.0 | 180000.0 | Family | Working | Secondary / secondary special | Separated | With parents | 0.003813 | 11973.0 | 670.0 | 1926.0 | 626.0 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | Sales staff | 2.0 | 2 | 2 | SATURDAY | 18 | 1 | 1 | 0 | 1 | 1 | 0 | Business Entity Type 3 | 0.702403 | 0.865896 | 0.0 | 0.0 | 0.0 | 0.0 | -336.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VHIGH | VLOW | MIDDLE-AGE |
| 307483 | 456230 | 0 | Cash loans | F | Y | Y | 1 | 292500.000 | 355536.0 | 18283.5 | 270000.0 | Unaccompanied | Commercial associate | Higher education | Civil marriage | House / apartment | 0.072508 | 16010.0 | 1185.0 | 5034.0 | 4392.0 | 9.0 | 1 | 1 | 0 | 1 | 1 | 0 | NaN | 3.0 | 1 | 1 | SATURDAY | 17 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 2 | 0.661025 | 0.199771 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | VHIGH | LOW | MIDDLE-AGE |
| 307484 | 456231 | 0 | Cash loans | M | N | Y | 0 | 117000.000 | 1071909.0 | 31473.0 | 936000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Married | House / apartment | 0.010147 | 23125.0 | 365243.0 | 5485.0 | 4115.0 | 0.0 | 1 | 0 | 0 | 1 | 0 | 0 | NaN | 2.0 | 2 | 2 | WEDNESDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.307082 | 0.255332 | 0.0 | 0.0 | 0.0 | 0.0 | -846.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 8.0 | LOW | VHIGH | SENIORS |
| 307485 | 456232 | 0 | Cash loans | F | N | N | 0 | 157500.000 | 135000.0 | 13351.5 | 135000.0 | Unaccompanied | State servant | Higher education | Single / not married | House / apartment | 0.004960 | 10092.0 | 1218.0 | 4158.0 | 2783.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Core staff | 1.0 | 2 | 2 | WEDNESDAY | 18 | 0 | 0 | 0 | 0 | 1 | 1 | Government | 0.619662 | 0.529890 | 1.0 | 0.0 | 1.0 | 0.0 | -610.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 | MEDIOCRE | VLOW | MIDDLE-AGE |
| 307487 | 456234 | 0 | Cash loans | M | N | Y | 0 | 81000.000 | 135000.0 | 9148.5 | 135000.0 | Unaccompanied | Commercial associate | Higher education | Single / not married | House / apartment | 0.010147 | 9874.0 | 1928.0 | 9445.0 | 2557.0 | 0.0 | 1 | 1 | 0 | 1 | 1 | 0 | Laborers | 1.0 | 2 | 2 | SATURDAY | 12 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 1 | 0.378421 | 0.495666 | 0.0 | 0.0 | 0.0 | 0.0 | -439.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | VLOW | VLOW | MIDDLE-AGE |
| 307488 | 456235 | 0 | Cash loans | M | Y | Y | 2 | 90000.000 | 1078200.0 | 31522.5 | 900000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.019101 | 10976.0 | 1953.0 | 5048.0 | 3369.0 | 15.0 | 1 | 1 | 1 | 1 | 0 | 0 | Drivers | 4.0 | 2 | 2 | SATURDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.561158 | 0.716570 | 4.0 | 0.0 | 4.0 | 0.0 | -1357.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 7.0 | VLOW | VHIGH | MIDDLE-AGE |
| 307489 | 456236 | 0 | Cash loans | M | Y | Y | 0 | 585000.000 | 1575000.0 | 43443.0 | 1575000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.028663 | 20965.0 | 1618.0 | 1764.0 | 4410.0 | 2.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 2.0 | 2 | 2 | FRIDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.599173 | 0.365617 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | VHIGH | VHIGH | SENIORS |
| 307490 | 456237 | 0 | Cash loans | F | N | Y | 0 | 135000.000 | 946764.0 | 37678.5 | 765000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.019689 | 17533.0 | 2306.0 | 5032.0 | 1094.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Security staff | 2.0 | 2 | 2 | MONDAY | 12 | 0 | 0 | 0 | 0 | 1 | 1 | School | 0.424683 | 0.728141 | 0.0 | 0.0 | 0.0 | 0.0 | -249.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 7.0 | LOW | VHIGH | SENIORS |
| 307491 | 456238 | 0 | Cash loans | M | Y | N | 1 | 270000.000 | 479700.0 | 46858.5 | 450000.0 | Family | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.035792 | 14958.0 | 6573.0 | 1438.0 | 4519.0 | 15.0 | 1 | 1 | 0 | 1 | 0 | 0 | Drivers | 3.0 | 2 | 2 | MONDAY | 9 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.699727 | 0.511892 | 11.0 | 0.0 | 11.0 | 0.0 | -367.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | VHIGH | MEDIOCRE | MIDDLE-AGE |
| 307492 | 456239 | 0 | Cash loans | M | Y | N | 0 | 180000.000 | 808650.0 | 23773.5 | 675000.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.025164 | 20922.0 | 7438.0 | 9596.0 | 4440.0 | 2.0 | 1 | 1 | 0 | 1 | 1 | 0 | High skill tech staff | 2.0 | 2 | 2 | WEDNESDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.267834 | 0.597192 | 0.0 | 0.0 | 0.0 | 0.0 | -2919.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | HIGH | HIGH | SENIORS |
| 307493 | 456240 | 0 | Revolving loans | F | N | N | 0 | 360000.000 | 337500.0 | 16875.0 | 337500.0 | Family | Working | Higher education | Married | House / apartment | 0.004960 | 17345.0 | 2178.0 | 4262.0 | 876.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Cooking staff | 2.0 | 2 | 2 | THURSDAY | 13 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.512081 | 0.486653 | 0.0 | 0.0 | 0.0 | 0.0 | -826.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | VHIGH | LOW | SENIORS |
| 307494 | 456241 | 0 | Cash loans | F | Y | Y | 0 | 180000.000 | 270126.0 | 12028.5 | 193500.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.007020 | 16679.0 | 1222.0 | 1916.0 | 222.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 2.0 | 2 | 2 | THURSDAY | 13 | 0 | 0 | 0 | 0 | 1 | 1 | Trade: type 7 | 0.651306 | 0.524496 | 0.0 | 0.0 | 0.0 | 0.0 | -1344.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 | HIGH | LOW | SENIORS |
| 307495 | 456242 | 0 | Cash loans | M | Y | Y | 0 | 198000.000 | 1312110.0 | 52168.5 | 1125000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.072508 | 19102.0 | 3689.0 | 746.0 | 2650.0 | 10.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 2.0 | 1 | 1 | MONDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Construction | 0.746259 | 0.406617 | 0.0 | 0.0 | 0.0 | 0.0 | -734.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | HIGH | VHIGH | SENIORS |
| 307496 | 456243 | 0 | Cash loans | F | N | Y | 0 | 81000.000 | 225000.0 | 12694.5 | 225000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.007020 | 16988.0 | 8694.0 | 5396.0 | 509.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | Medicine staff | 2.0 | 2 | 2 | TUESDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Medicine | 0.649123 | 0.206779 | 4.0 | 0.0 | 4.0 | 0.0 | -1511.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | VLOW | VLOW | SENIORS |
| 307497 | 456244 | 0 | Cash loans | F | N | Y | 0 | 261000.000 | 1303812.0 | 35982.0 | 1138500.0 | Unaccompanied | Working | Higher education | Married | House / apartment | 0.031329 | 20390.0 | 5326.0 | 157.0 | 3906.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 1 | NaN | 2.0 | 2 | 2 | FRIDAY | 10 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.789389 | 0.337673 | 0.0 | 0.0 | 0.0 | 0.0 | -1459.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 5.0 | VHIGH | VHIGH | SENIORS |
| 307498 | 456245 | 0 | Cash loans | F | N | Y | 3 | 81000.000 | 269550.0 | 11871.0 | 225000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.009175 | 12961.0 | 1046.0 | 1398.0 | 3780.0 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | Low-skill Laborers | 5.0 | 2 | 2 | WEDNESDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Industry: type 1 | 0.575481 | NaN | 2.0 | 1.0 | 2.0 | 1.0 | -448.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | VLOW | LOW | MIDDLE-AGE |
| 307499 | 456246 | 0 | Cash loans | F | N | Y | 1 | 94500.000 | 225000.0 | 10620.0 | 225000.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.010966 | 16063.0 | 8736.0 | 8672.0 | 4531.0 | 0.0 | 1 | 1 | 1 | 1 | 0 | 0 | Laborers | 3.0 | 2 | 2 | MONDAY | 16 | 0 | 0 | 0 | 0 | 1 | 1 | School | 0.313334 | 0.735221 | 0.0 | 0.0 | 0.0 | 0.0 | -1516.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | VLOW | VLOW | MIDDLE-AGE |
| 307500 | 456247 | 0 | Cash loans | F | N | Y | 0 | 112500.000 | 345510.0 | 17770.5 | 247500.0 | Unaccompanied | Commercial associate | Higher education | Single / not married | House / apartment | 0.022800 | 11870.0 | 399.0 | 675.0 | 3936.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 1 | Core staff | 1.0 | 2 | 2 | SATURDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Bank | 0.501221 | 0.609276 | 9.0 | 3.0 | 9.0 | 2.0 | -2315.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 | LOW | LOW | MIDDLE-AGE |
| 307501 | 456248 | 0 | Cash loans | F | N | Y | 0 | 153000.000 | 331920.0 | 16096.5 | 225000.0 | Unaccompanied | Working | Secondary / secondary special | Separated | House / apartment | 0.022625 | 16705.0 | 7258.0 | 9798.0 | 259.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 1.0 | 2 | 2 | WEDNESDAY | 11 | 0 | 0 | 0 | 0 | 0 | 0 | Self-employed | 0.530725 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | MEDIOCRE | LOW | SENIORS |
| 307502 | 456249 | 0 | Cash loans | F | N | Y | 0 | 112500.000 | 225000.0 | 22050.0 | 225000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Single / not married | House / apartment | 0.022800 | 24384.0 | 365243.0 | 7369.0 | 2357.0 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | MONDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.346391 | 0.742182 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | LOW | VLOW | SENIORS |
| 307503 | 456251 | 0 | Cash loans | M | N | N | 0 | 157500.000 | 254700.0 | 27558.0 | 225000.0 | Unaccompanied | Working | Secondary / secondary special | Separated | With parents | 0.032561 | 9327.0 | 236.0 | 8456.0 | 1982.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Sales staff | 1.0 | 1 | 1 | THURSDAY | 15 | 0 | 0 | 0 | 0 | 0 | 0 | Services | 0.681632 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | -273.0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | MEDIOCRE | VLOW | MIDDLE-AGE |
| 307504 | 456252 | 0 | Cash loans | F | N | Y | 0 | 72000.000 | 269550.0 | 12001.5 | 225000.0 | Unaccompanied | Pensioner | Secondary / secondary special | Widow | House / apartment | 0.025164 | 20775.0 | 365243.0 | 4388.0 | 4090.0 | 0.0 | 1 | 0 | 0 | 1 | 1 | 0 | NaN | 1.0 | 2 | 2 | MONDAY | 8 | 0 | 0 | 0 | 0 | 0 | 0 | XNA | 0.115992 | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | VLOW | LOW | SENIORS |
| 307505 | 456253 | 0 | Cash loans | F | N | Y | 0 | 153000.000 | 677664.0 | 29979.0 | 585000.0 | Unaccompanied | Working | Higher education | Separated | House / apartment | 0.005002 | 14966.0 | 7921.0 | 6737.0 | 5150.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 1 | Managers | 1.0 | 3 | 3 | THURSDAY | 9 | 0 | 0 | 0 | 0 | 1 | 1 | School | 0.535722 | 0.218859 | 6.0 | 0.0 | 6.0 | 0.0 | -1909.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | MEDIOCRE | HIGH | MIDDLE-AGE |
| 307507 | 456255 | 0 | Cash loans | F | N | N | 0 | 157500.000 | 675000.0 | 49117.5 | 675000.0 | Unaccompanied | Commercial associate | Higher education | Married | House / apartment | 0.046220 | 16856.0 | 1262.0 | 5128.0 | 410.0 | 0.0 | 1 | 1 | 1 | 1 | 1 | 0 | Laborers | 2.0 | 1 | 1 | THURSDAY | 20 | 0 | 0 | 0 | 0 | 1 | 1 | Business Entity Type 3 | 0.708569 | 0.113922 | 0.0 | 0.0 | 0.0 | 0.0 | -787.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 1.0 | MEDIOCRE | HIGH | SENIORS |
282683 rows × 77 columns
### we can also use loc for separate the dataset
t0 = app1.loc[app1["TARGET"] == 0] ### No payment issues
t1 = app1.loc[app1["TARGET"] == 1] #### Payment issues
### Cheking on payment issues with income groups
t1.shape, t0.shape
((24825, 77), (282683, 77))
sns.distplot(t0.AMT_INCOME_TOTAL, norm_hist=True)
#plt.ylim(0, 4)
plt.xlim(0, 0.2e7)
plt.show();
sns.distplot(t1.AMT_INCOME_TOTAL, norm_hist=True)
# control x and y limits
#plt.ylim(0, 4)
plt.xlim(0, 1e7)
plt.show();
t1[t1["AMT_INCOME_TOTAL"] > 11700000]
| SK_ID_CURR | TARGET | NAME_CONTRACT_TYPE | CODE_GENDER | FLAG_OWN_CAR | FLAG_OWN_REALTY | CNT_CHILDREN | AMT_INCOME_TOTAL | AMT_CREDIT | AMT_ANNUITY | AMT_GOODS_PRICE | NAME_TYPE_SUITE | NAME_INCOME_TYPE | NAME_EDUCATION_TYPE | NAME_FAMILY_STATUS | NAME_HOUSING_TYPE | REGION_POPULATION_RELATIVE | DAYS_BIRTH | DAYS_EMPLOYED | DAYS_REGISTRATION | DAYS_ID_PUBLISH | OWN_CAR_AGE | FLAG_MOBIL | FLAG_EMP_PHONE | FLAG_WORK_PHONE | FLAG_CONT_MOBILE | FLAG_PHONE | FLAG_EMAIL | OCCUPATION_TYPE | CNT_FAM_MEMBERS | REGION_RATING_CLIENT | REGION_RATING_CLIENT_W_CITY | WEEKDAY_APPR_PROCESS_START | HOUR_APPR_PROCESS_START | REG_REGION_NOT_LIVE_REGION | REG_REGION_NOT_WORK_REGION | LIVE_REGION_NOT_WORK_REGION | REG_CITY_NOT_LIVE_CITY | REG_CITY_NOT_WORK_CITY | LIVE_CITY_NOT_WORK_CITY | ORGANIZATION_TYPE | EXT_SOURCE_2 | EXT_SOURCE_3 | OBS_30_CNT_SOCIAL_CIRCLE | DEF_30_CNT_SOCIAL_CIRCLE | OBS_60_CNT_SOCIAL_CIRCLE | DEF_60_CNT_SOCIAL_CIRCLE | DAYS_LAST_PHONE_CHANGE | FLAG_DOCUMENT_2 | FLAG_DOCUMENT_3 | FLAG_DOCUMENT_4 | FLAG_DOCUMENT_5 | FLAG_DOCUMENT_6 | FLAG_DOCUMENT_7 | FLAG_DOCUMENT_8 | FLAG_DOCUMENT_9 | FLAG_DOCUMENT_10 | FLAG_DOCUMENT_11 | FLAG_DOCUMENT_12 | FLAG_DOCUMENT_13 | FLAG_DOCUMENT_14 | FLAG_DOCUMENT_15 | FLAG_DOCUMENT_16 | FLAG_DOCUMENT_17 | FLAG_DOCUMENT_18 | FLAG_DOCUMENT_19 | FLAG_DOCUMENT_20 | FLAG_DOCUMENT_21 | AMT_REQ_CREDIT_BUREAU_HOUR | AMT_REQ_CREDIT_BUREAU_DAY | AMT_REQ_CREDIT_BUREAU_WEEK | AMT_REQ_CREDIT_BUREAU_MON | AMT_REQ_CREDIT_BUREAU_QRT | AMT_REQ_CREDIT_BUREAU_YEAR | AMT_INCOME_CAT | AMT_CREDIT_CAT | DAYS_BIRTH_CAT | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 12840 | 114967 | 1 | Cash loans | F | N | Y | 1 | 117000000.0 | 562491.0 | 26194.5 | 454500.0 | Unaccompanied | Working | Secondary / secondary special | Married | House / apartment | 0.010643 | 12615.0 | 922.0 | 6762.0 | 3643.0 | 0.0 | 1 | 1 | 0 | 1 | 0 | 0 | Laborers | 3.0 | 2 | 2 | TUESDAY | 14 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.113161 | 0.145543 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | VHIGH | MEDIOCRE | MIDDLE-AGE |
t1["AMT_INCOME_TOTAL"].drop(labels = [12840], axis =0, inplace = True)
fig = px.box(t1, y="AMT_INCOME_TOTAL",title='AMT_INCOME_DISTRIBUTION' )
fig.show()
t0[t0["AMT_INCOME_TOTAL"] > 15000000]
| SK_ID_CURR | TARGET | NAME_CONTRACT_TYPE | CODE_GENDER | FLAG_OWN_CAR | FLAG_OWN_REALTY | CNT_CHILDREN | AMT_INCOME_TOTAL | AMT_CREDIT | AMT_ANNUITY | AMT_GOODS_PRICE | NAME_TYPE_SUITE | NAME_INCOME_TYPE | NAME_EDUCATION_TYPE | NAME_FAMILY_STATUS | NAME_HOUSING_TYPE | REGION_POPULATION_RELATIVE | DAYS_BIRTH | DAYS_EMPLOYED | DAYS_REGISTRATION | DAYS_ID_PUBLISH | OWN_CAR_AGE | FLAG_MOBIL | FLAG_EMP_PHONE | FLAG_WORK_PHONE | FLAG_CONT_MOBILE | FLAG_PHONE | FLAG_EMAIL | OCCUPATION_TYPE | CNT_FAM_MEMBERS | REGION_RATING_CLIENT | REGION_RATING_CLIENT_W_CITY | WEEKDAY_APPR_PROCESS_START | HOUR_APPR_PROCESS_START | REG_REGION_NOT_LIVE_REGION | REG_REGION_NOT_WORK_REGION | LIVE_REGION_NOT_WORK_REGION | REG_CITY_NOT_LIVE_CITY | REG_CITY_NOT_WORK_CITY | LIVE_CITY_NOT_WORK_CITY | ORGANIZATION_TYPE | EXT_SOURCE_2 | EXT_SOURCE_3 | OBS_30_CNT_SOCIAL_CIRCLE | DEF_30_CNT_SOCIAL_CIRCLE | OBS_60_CNT_SOCIAL_CIRCLE | DEF_60_CNT_SOCIAL_CIRCLE | DAYS_LAST_PHONE_CHANGE | FLAG_DOCUMENT_2 | FLAG_DOCUMENT_3 | FLAG_DOCUMENT_4 | FLAG_DOCUMENT_5 | FLAG_DOCUMENT_6 | FLAG_DOCUMENT_7 | FLAG_DOCUMENT_8 | FLAG_DOCUMENT_9 | FLAG_DOCUMENT_10 | FLAG_DOCUMENT_11 | FLAG_DOCUMENT_12 | FLAG_DOCUMENT_13 | FLAG_DOCUMENT_14 | FLAG_DOCUMENT_15 | FLAG_DOCUMENT_16 | FLAG_DOCUMENT_17 | FLAG_DOCUMENT_18 | FLAG_DOCUMENT_19 | FLAG_DOCUMENT_20 | FLAG_DOCUMENT_21 | AMT_REQ_CREDIT_BUREAU_HOUR | AMT_REQ_CREDIT_BUREAU_DAY | AMT_REQ_CREDIT_BUREAU_WEEK | AMT_REQ_CREDIT_BUREAU_MON | AMT_REQ_CREDIT_BUREAU_QRT | AMT_REQ_CREDIT_BUREAU_YEAR | AMT_INCOME_CAT | AMT_CREDIT_CAT | DAYS_BIRTH_CAT | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 203690 | 336147 | 0 | Cash loans | M | Y | Y | 2 | 18000090.0 | 675000.0 | 69295.5 | 675000.0 | Unaccompanied | Commercial associate | Secondary / secondary special | Married | House / apartment | 0.030755 | 15704.0 | 4961.0 | 3338.0 | 4728.0 | 7.0 | 1 | 1 | 0 | 1 | 0 | 0 | NaN | 4.0 | 2 | 2 | THURSDAY | 22 | 0 | 0 | 0 | 0 | 0 | 0 | Business Entity Type 3 | 0.788606 | NaN | 1.0 | 0.0 | 1.0 | 0.0 | -1133.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | VHIGH | HIGH | MIDDLE-AGE |
t0["AMT_INCOME_TOTAL"].drop(labels = [203690], axis =0, inplace = True)
fig = px.box(t0, y="AMT_INCOME_TOTAL",title='AMT_INCOME_DISTRIBUTION' )
fig.show()
### Checking on gender distribution of payment issues
t1["CODE_GENDER"].value_counts().plot(kind='bar', figsize=(8, 6), rot=90)
plt.xlabel("CODE_GENDER", labelpad=8)
plt.ylabel("COUNTS", labelpad=8)
plt.title("GENDER_DISTRIBUTION_WITH_PAYMENT_ISSUES", y=1.05);
t0["CODE_GENDER"].value_counts().plot(kind='bar', figsize=(8, 6), rot=90)
plt.xlabel("CODE_GENDER", labelpad=8)
plt.ylabel("COUNTS", labelpad=8)
plt.title("GENDER_DISTRIBUTION_WITH_PAYMENT_ISSUES", y=1.05);
### Checking on income type distribution of payment issues
per_income_type = t1["NAME_INCOME_TYPE"].value_counts()/len(t1)*100
per_income_type.plot(kind='bar', figsize=(8, 6), rot=90)
plt.xlabel("INCOME_TYPE", labelpad=8)
plt.ylabel("PERCENTAGE", labelpad=8)
plt.title("INCOME_TYPE_DISTRIBUTION_WITH_PAYMENT_ISSUES", y=1.05);
#### Observations in t0 group
per_income_type = t0["NAME_INCOME_TYPE"].value_counts()/len(t0)*100
per_income_type.plot(kind='bar', figsize=(8, 6), rot=90)
plt.xlabel("INCOME_TYPE", labelpad=8)
plt.ylabel("PERCENTAGE", labelpad=8)
plt.title("INCOME_TYPE_DISTRIBUTION_WITH_PAYMENT_ISSUES", y=1.05);
### Checking on contract type distribution for payment issues
per_contract_type = t1["NAME_CONTRACT_TYPE"].value_counts()/len(t1)*100
per_contract_type.plot(kind='bar', figsize=(8, 6), rot=90)
plt.xlabel("CONTRACT_TYPE", labelpad=8)
plt.ylabel("PERCENTAGE", labelpad=8)
plt.title("CONTRACT_TYPE_DISTRIBUTION_WITH_PAYMENT_ISSUES", y=1.05);
### Checking on education type distribution for payment issues
per_edu_type = t1["NAME_EDUCATION_TYPE"].value_counts()/len(t1)*100
per_edu_type.plot(kind='bar', figsize=(8, 6), rot=90)
plt.xlabel("CONTRACT_TYPE", labelpad=8)
plt.ylabel("PERCENTAGE", labelpad=8)
plt.title("EDUCATION_TYPE_DISTRIBUTION_WITH_PAYMENT_ISSUES", y=1.05);
### Checking on Family status distribution for payment issues
per_fstat_type = t1["NAME_FAMILY_STATUS"].value_counts()/len(t1)*100
per_fstat_type.plot(kind='bar', figsize=(8, 6), rot=90)
plt.xlabel("FAMILY_STATUS_TYPE", labelpad=8)
plt.ylabel("PERCENTAGE", labelpad=8)
plt.title("FAMILY_STATUS_DISTRIBUTION_WITH_PAYMENT_ISSUES", y=1.05);
### Checking on housing type distribution for payment issues
per_house_type = t1["NAME_HOUSING_TYPE"].value_counts()/len(t1)*100
per_house_type.plot(kind='bar', figsize=(8, 6), rot=90)
plt.xlabel("HOUSE_TYPE", labelpad=8)
plt.ylabel("PERCENTAGE", labelpad=8)
plt.title("HOUSE_TYPE_DISTRIBUTION_WITH_PAYMENT_ISSUES", y=1.05);
## Income range for payment issues
per_income_cat_type = t1["AMT_INCOME_CAT"].value_counts()/len(t1)*100
per_income_cat_type.plot(kind='bar', figsize=(8, 6), rot=90)
plt.xlabel("INCOME_CATEGORY", labelpad=8)
plt.ylabel("PERCENTAGE", labelpad=8)
plt.title("INCOME_CATEGORY_DISTRIBUTION_WITH_PAYMENT_ISSUES", y=1.05);
## Income range for payment issues
per_birth_cat_type = t1["DAYS_BIRTH_CAT"].value_counts()/len(t1)*100
per_birth_cat_type.plot(kind='bar', figsize=(8, 6), rot=90)
plt.xlabel("AGE_GROUP_CATEGORY", labelpad=8)
plt.ylabel("PERCENTAGE", labelpad=8)
plt.title("AGE_GROUP_DISTRIBUTION_WITH_PAYMENT_ISSUES", y=1.05);
## NAME_TYPE_SUITE for payment issues
per_name_suite_type = t1["NAME_TYPE_SUITE"].value_counts()/len(t1)*100
per_name_suite_type.plot(kind='bar', figsize=(8, 6), rot=90)
plt.xlabel("TYPE_SUITE_CATEGORY", labelpad=8)
plt.ylabel("PERCENTAGE", labelpad=8)
plt.title("TYPE_SUITE_DISTRIBUTION_WITH_PAYMENT_ISSUES", y=1.05);
## ORGANIZATION_TYPE for payment issues
per_org_type = t1["ORGANIZATION_TYPE"].value_counts()/len(t1)*100
per_org_type.plot(kind='bar', figsize=(15, 12), rot=90)
plt.xlabel("ORGANIZATION_TYPE", labelpad=8)
plt.ylabel("PERCENTAGE", labelpad=8)
plt.title("ORGANIZATION_TYPE_DISTRIBUTION_WITH_PAYMENT_ISSUES", y=1.05);
### Instead of accessing columns, we will create a list and perform visualizations
obj_cols = t1.select_dtypes("object").columns
cat_cols = t1.select_dtypes("category").columns
num_cols = t1.select_dtypes("float64", "int64").columns
### Moving them to separate lists
obj_lis = list(obj_cols)
cat_lis = list(cat_cols)
num_lis = list(num_cols)
### Using for loop to plots the graph for analysis for object data types
for i in obj_lis:
obj_counts_1=t1[i].value_counts(normalize=True)
fig,(ax1,ax2,ax3) = plt.subplots(1,3,sharey=True,gridspec_kw={'width_ratios':[1,1, 0.001]},figsize=(15,3))
print("Plot for ",i)
char_1=sns.barplot(x=obj_counts_1.index, y=obj_counts_1, ax=ax1, palette="husl")
char_1.set_xticklabels(char_1.get_xticklabels(minor=False), rotation=90, horizontalalignment='right')
char_1.axes.set_title('Pay issues',fontsize= 12,fontweight= 7,color='blue')
obj_counts_2=t0[i].value_counts(normalize=True)
char_2=sns.barplot(x=obj_counts_2.index, y=obj_counts_2,ax=ax2, palette="Blues_d")
char_2.set_xticklabels(char_2.get_xticklabels(), rotation=90, horizontalalignment='right')
char_2.axes.set_title('No Pay issues',fontsize= 12,fontweight= 7,color='blue')
plt.show();
Plot for NAME_CONTRACT_TYPE
Plot for CODE_GENDER
Plot for FLAG_OWN_CAR
Plot for FLAG_OWN_REALTY
Plot for NAME_TYPE_SUITE
Plot for NAME_INCOME_TYPE
Plot for NAME_EDUCATION_TYPE
Plot for NAME_FAMILY_STATUS
Plot for NAME_HOUSING_TYPE
Plot for OCCUPATION_TYPE
Plot for WEEKDAY_APPR_PROCESS_START
Plot for ORGANIZATION_TYPE
### Using for loop to plots the graph for analysis for category data types
for i in cat_lis:
cat_counts_1=t1[i].value_counts(normalize=True)
fig,(ax1,ax2,ax3) = plt.subplots(1,3,sharey=True,gridspec_kw={'width_ratios':[1,1, 0.001]},figsize=(15,3))
print("Plot for ",i)
char_1=sns.barplot(x=cat_counts_1.index, y=cat_counts_1, ax=ax1, palette="husl")
char_1.set_xticklabels(char_1.get_xticklabels(minor=False), rotation=90, horizontalalignment='right')
char_1.axes.set_title('Pay issues',fontsize= 12,fontweight= 7,color='blue')
cat_counts_2=t0[i].value_counts(normalize=True)
char_2=sns.barplot(x=cat_counts_1.index, y=cat_counts_2,ax=ax2, palette="Blues_d")
char_2.set_xticklabels(char_2.get_xticklabels(), rotation=90, horizontalalignment='right')
char_2.axes.set_title('No Pay issues',fontsize= 12,fontweight= 7,color='blue')
plt.show();
Plot for AMT_INCOME_CAT
Plot for AMT_CREDIT_CAT
Plot for DAYS_BIRTH_CAT
t1.NAME_CONTRACT_TYPE.value_counts(normalize = True), t0.NAME_CONTRACT_TYPE.value_counts(normalize = True)
(Cash loans 0.935388 Revolving loans 0.064612 Name: NAME_CONTRACT_TYPE, dtype: float64, Cash loans 0.902106 Revolving loans 0.097894 Name: NAME_CONTRACT_TYPE, dtype: float64)
### Using for loop to plots the graph for analysis for numerical data types
for i in num_lis:
num_1=t1[i].value_counts()
fig,(ax1,ax2,ax3) = plt.subplots(1,3,sharey=True,gridspec_kw={'width_ratios':[1,1, 0.01]},figsize=(14,4))
print("Graph: ",i)
char_1=sns.distplot(t1[i], ax=ax1,hist = False)
char_1.axes.set_title('Pay issues',fontsize= 12,fontweight= 7,color='Green')
num_2=t0[i].value_counts()
char_2=sns.distplot(t0[i],ax=ax2,hist = False)
char_2.axes.set_title('No Pay issues',fontsize= 12,fontweight= 7,color='Green')
plt.show()
Graph: AMT_INCOME_TOTAL
Graph: AMT_CREDIT
Graph: AMT_ANNUITY
Graph: AMT_GOODS_PRICE
Graph: REGION_POPULATION_RELATIVE
Graph: DAYS_BIRTH
Graph: DAYS_EMPLOYED
Graph: DAYS_REGISTRATION
Graph: DAYS_ID_PUBLISH
Graph: OWN_CAR_AGE
Graph: CNT_FAM_MEMBERS
Graph: EXT_SOURCE_2
Graph: EXT_SOURCE_3
Graph: OBS_30_CNT_SOCIAL_CIRCLE
Graph: DEF_30_CNT_SOCIAL_CIRCLE
Graph: OBS_60_CNT_SOCIAL_CIRCLE
Graph: DEF_60_CNT_SOCIAL_CIRCLE
Graph: DAYS_LAST_PHONE_CHANGE
Graph: AMT_REQ_CREDIT_BUREAU_HOUR
Graph: AMT_REQ_CREDIT_BUREAU_DAY
Graph: AMT_REQ_CREDIT_BUREAU_WEEK
Graph: AMT_REQ_CREDIT_BUREAU_MON
Graph: AMT_REQ_CREDIT_BUREAU_QRT
Graph: AMT_REQ_CREDIT_BUREAU_YEAR
for i in num_lis:
sns.distplot(t0[i], hist = False, label = 'No Pay issues')
sns.distplot(t1[i], hist = False, label = 'Pay issues')
plt.show();
t1.DAYS_LAST_PHONE_CHANGE = abs(t1["DAYS_LAST_PHONE_CHANGE"])
t0.DAYS_LAST_PHONE_CHANGE = abs(t0["DAYS_LAST_PHONE_CHANGE"])
plt.figure(figsize=(8,6))
grap=sns.countplot(x='AMT_CREDIT_CAT', data=app1, hue="TARGET", palette="Paired")
grap.set_xticklabels(grap.get_xticklabels(), rotation=90, horizontalalignment='right')
grap.axes.set_title('AMT_CREDIT_CAT',fontsize= 10,fontweight= 5,color='Green')
plt.show();
t1.DAYS_LAST_PHONE_CHANGE.describe()
count 24825.000000 mean 808.796818 std 758.090713 min 0.000000 25% 194.000000 50% 594.000000 75% 1301.000000 max 4070.000000 Name: DAYS_LAST_PHONE_CHANGE, dtype: float64
t1.DAYS_LAST_PHONE_CHANGE.plot(kind="hist")
<matplotlib.axes._subplots.AxesSubplot at 0x128647ea7b8>
col_reg = [c for c in t1.columns if c.startswith('REG')]
col_reg
['REGION_POPULATION_RELATIVE', 'REGION_RATING_CLIENT', 'REGION_RATING_CLIENT_W_CITY', 'REG_REGION_NOT_LIVE_REGION', 'REG_REGION_NOT_WORK_REGION', 'REG_CITY_NOT_LIVE_CITY', 'REG_CITY_NOT_WORK_CITY']
for i in col_reg:
sns.distplot(t0[i], hist = False, label = 'No Pay issues')
sns.distplot(t1[i], hist = False, label = 'Pay issues')
plt.show();
## Saving the two group of people in separate files for reference
t1.to_csv('t1_app.csv', index=False)
t0.to_csv('t0_app.csv', index=False)
t1 = pd.read_csv("t1_app.csv")
t0 = pd.read_csv("t0_app.csv")
t1.columns
Index(['SK_ID_CURR', 'TARGET', 'NAME_CONTRACT_TYPE', 'CODE_GENDER',
'FLAG_OWN_CAR', 'FLAG_OWN_REALTY', 'CNT_CHILDREN', 'AMT_INCOME_TOTAL',
'AMT_CREDIT', 'AMT_ANNUITY', 'AMT_GOODS_PRICE', 'NAME_TYPE_SUITE',
'NAME_INCOME_TYPE', 'NAME_EDUCATION_TYPE', 'NAME_FAMILY_STATUS',
'NAME_HOUSING_TYPE', 'REGION_POPULATION_RELATIVE', 'DAYS_BIRTH',
'DAYS_EMPLOYED', 'DAYS_REGISTRATION', 'DAYS_ID_PUBLISH', 'OWN_CAR_AGE',
'FLAG_MOBIL', 'FLAG_EMP_PHONE', 'FLAG_WORK_PHONE', 'FLAG_CONT_MOBILE',
'FLAG_PHONE', 'FLAG_EMAIL', 'OCCUPATION_TYPE', 'CNT_FAM_MEMBERS',
'REGION_RATING_CLIENT', 'REGION_RATING_CLIENT_W_CITY',
'WEEKDAY_APPR_PROCESS_START', 'HOUR_APPR_PROCESS_START',
'REG_REGION_NOT_LIVE_REGION', 'REG_REGION_NOT_WORK_REGION',
'LIVE_REGION_NOT_WORK_REGION', 'REG_CITY_NOT_LIVE_CITY',
'REG_CITY_NOT_WORK_CITY', 'LIVE_CITY_NOT_WORK_CITY',
'ORGANIZATION_TYPE', 'EXT_SOURCE_2', 'EXT_SOURCE_3',
'OBS_30_CNT_SOCIAL_CIRCLE', 'DEF_30_CNT_SOCIAL_CIRCLE',
'OBS_60_CNT_SOCIAL_CIRCLE', 'DEF_60_CNT_SOCIAL_CIRCLE',
'DAYS_LAST_PHONE_CHANGE', 'FLAG_DOCUMENT_2', 'FLAG_DOCUMENT_3',
'FLAG_DOCUMENT_4', 'FLAG_DOCUMENT_5', 'FLAG_DOCUMENT_6',
'FLAG_DOCUMENT_7', 'FLAG_DOCUMENT_8', 'FLAG_DOCUMENT_9',
'FLAG_DOCUMENT_10', 'FLAG_DOCUMENT_11', 'FLAG_DOCUMENT_12',
'FLAG_DOCUMENT_13', 'FLAG_DOCUMENT_14', 'FLAG_DOCUMENT_15',
'FLAG_DOCUMENT_16', 'FLAG_DOCUMENT_17', 'FLAG_DOCUMENT_18',
'FLAG_DOCUMENT_19', 'FLAG_DOCUMENT_20', 'FLAG_DOCUMENT_21',
'AMT_REQ_CREDIT_BUREAU_HOUR', 'AMT_REQ_CREDIT_BUREAU_DAY',
'AMT_REQ_CREDIT_BUREAU_WEEK', 'AMT_REQ_CREDIT_BUREAU_MON',
'AMT_REQ_CREDIT_BUREAU_QRT', 'AMT_REQ_CREDIT_BUREAU_YEAR',
'AMT_INCOME_CAT', 'AMT_CREDIT_CAT', 'DAYS_BIRTH_CAT'],
dtype='object')
plt.figure(figsize = (18,8))
plt.subplot(1,2,1)
plt.title("Income & Amt Credit group for Target 1")
sns.boxplot(x = 'AMT_INCOME_CAT', y = 'AMT_CREDIT', data =t1, showfliers=False, palette="cubehelix")
plt.subplot(1,2,2)
plt.title("Income & Amt Credit group for Target 0")
sns.boxplot(x = 'AMT_INCOME_CAT', y = 'AMT_CREDIT', data = t0, showfliers=False, palette="cubehelix")
plt.show();
plt.figure(figsize = (20,4))
plt.subplot(1,2,1)
plt.title("Income_Group and Payment Diffculty")
sns.countplot('AMT_INCOME_CAT', hue = 'TARGET', data =app1)
plt.show()
app1.columns
Index(['SK_ID_CURR', 'TARGET', 'NAME_CONTRACT_TYPE', 'CODE_GENDER',
'FLAG_OWN_CAR', 'FLAG_OWN_REALTY', 'CNT_CHILDREN', 'AMT_INCOME_TOTAL',
'AMT_CREDIT', 'AMT_ANNUITY', 'AMT_GOODS_PRICE', 'NAME_TYPE_SUITE',
'NAME_INCOME_TYPE', 'NAME_EDUCATION_TYPE', 'NAME_FAMILY_STATUS',
'NAME_HOUSING_TYPE', 'REGION_POPULATION_RELATIVE', 'DAYS_BIRTH',
'DAYS_EMPLOYED', 'DAYS_REGISTRATION', 'DAYS_ID_PUBLISH', 'OWN_CAR_AGE',
'FLAG_MOBIL', 'FLAG_EMP_PHONE', 'FLAG_WORK_PHONE', 'FLAG_CONT_MOBILE',
'FLAG_PHONE', 'FLAG_EMAIL', 'OCCUPATION_TYPE', 'CNT_FAM_MEMBERS',
'REGION_RATING_CLIENT', 'REGION_RATING_CLIENT_W_CITY',
'WEEKDAY_APPR_PROCESS_START', 'HOUR_APPR_PROCESS_START',
'REG_REGION_NOT_LIVE_REGION', 'REG_REGION_NOT_WORK_REGION',
'LIVE_REGION_NOT_WORK_REGION', 'REG_CITY_NOT_LIVE_CITY',
'REG_CITY_NOT_WORK_CITY', 'LIVE_CITY_NOT_WORK_CITY',
'ORGANIZATION_TYPE', 'EXT_SOURCE_2', 'EXT_SOURCE_3',
'OBS_30_CNT_SOCIAL_CIRCLE', 'DEF_30_CNT_SOCIAL_CIRCLE',
'OBS_60_CNT_SOCIAL_CIRCLE', 'DEF_60_CNT_SOCIAL_CIRCLE',
'DAYS_LAST_PHONE_CHANGE', 'FLAG_DOCUMENT_2', 'FLAG_DOCUMENT_3',
'FLAG_DOCUMENT_4', 'FLAG_DOCUMENT_5', 'FLAG_DOCUMENT_6',
'FLAG_DOCUMENT_7', 'FLAG_DOCUMENT_8', 'FLAG_DOCUMENT_9',
'FLAG_DOCUMENT_10', 'FLAG_DOCUMENT_11', 'FLAG_DOCUMENT_12',
'FLAG_DOCUMENT_13', 'FLAG_DOCUMENT_14', 'FLAG_DOCUMENT_15',
'FLAG_DOCUMENT_16', 'FLAG_DOCUMENT_17', 'FLAG_DOCUMENT_18',
'FLAG_DOCUMENT_19', 'FLAG_DOCUMENT_20', 'FLAG_DOCUMENT_21',
'AMT_REQ_CREDIT_BUREAU_HOUR', 'AMT_REQ_CREDIT_BUREAU_DAY',
'AMT_REQ_CREDIT_BUREAU_WEEK', 'AMT_REQ_CREDIT_BUREAU_MON',
'AMT_REQ_CREDIT_BUREAU_QRT', 'AMT_REQ_CREDIT_BUREAU_YEAR',
'AMT_INCOME_CAT', 'AMT_CREDIT_CAT', 'DAYS_BIRTH_CAT'],
dtype='object')
piv1 = pd.pivot_table(data = app1, index = "AMT_INCOME_CAT", columns = "TARGET",values='AMT_CREDIT', aggfunc="mean")
piv1
| TARGET | 0 | 1 |
|---|---|---|
| AMT_INCOME_CAT | ||
| VLOW | 385910.055205 | 401071.078852 |
| LOW | 515987.800804 | 496230.923218 |
| MEDIOCRE | 604593.018070 | 574222.523384 |
| HIGH | 699630.470905 | 643297.927515 |
| VHIGH | 890191.216722 | 786021.833496 |
piv2 = pd.pivot_table(data = app1, index = "DAYS_BIRTH_CAT", columns = "TARGET",values='AMT_CREDIT', aggfunc="mean")
piv2
| TARGET | 0 | 1 |
|---|---|---|
| DAYS_BIRTH_CAT | ||
| TEENAGE | 414805.759989 | 415780.998329 |
| MIDDLE-AGE | 598925.529508 | 543322.883919 |
| SENIORS | 622079.330806 | 607769.362645 |
piv3 = pd.pivot_table(data = app1, index = "NAME_INCOME_TYPE", columns = "CODE_GENDER",values='AMT_CREDIT', aggfunc="mean")
piv3
| CODE_GENDER | F | M | XNA |
|---|---|---|---|
| NAME_INCOME_TYPE | |||
| Businessman | 1.125000e+06 | 1.272857e+06 | NaN |
| Commercial associate | 6.651503e+05 | 6.777461e+05 | 540000.0 |
| Maternity leave | 7.458750e+05 | 7.650000e+05 | NaN |
| Pensioner | 5.363186e+05 | 5.704503e+05 | NaN |
| State servant | 6.624039e+05 | 6.899287e+05 | NaN |
| Student | 3.725563e+05 | 5.987528e+05 | NaN |
| Unemployed | 7.403824e+05 | 8.460000e+05 | NaN |
| Working | 5.744283e+05 | 5.810590e+05 | 352500.0 |
piv4 = pd.pivot_table(data = t1, index = "NAME_INCOME_TYPE", columns = "CODE_GENDER",values='AMT_CREDIT', aggfunc="mean")
piv4
| CODE_GENDER | F | M |
|---|---|---|
| NAME_INCOME_TYPE | ||
| Commercial associate | 613418.006402 | 599681.603679 |
| Maternity leave | 929250.000000 | NaN |
| Pensioner | 558498.129737 | 556644.763194 |
| State servant | 614061.717237 | 616406.753731 |
| Unemployed | 653250.000000 | 546750.000000 |
| Working | 537034.975876 | 533821.403301 |
piv5 = pd.pivot_table(data = app1, index = "NAME_EDUCATION_TYPE", columns = "TARGET",values='AMT_CREDIT', aggfunc="mean")
piv5
| TARGET | 0 | 1 |
|---|---|---|
| NAME_EDUCATION_TYPE | ||
| Academic degree | 719290.844720 | 950245.500000 |
| Higher education | 692439.813734 | 645981.010851 |
| Incomplete higher | 569727.478041 | 534740.986239 |
| Lower secondary | 490695.314303 | 481589.525180 |
| Secondary / secondary special | 574033.649640 | 542263.182160 |
piv6 = pd.pivot_table(data = t1, index = "NAME_EDUCATION_TYPE", columns = "TARGET",values='AMT_CREDIT', aggfunc="mean")
piv6
| TARGET | 1 |
|---|---|
| NAME_EDUCATION_TYPE | |
| Academic degree | 950245.500000 |
| Higher education | 645981.010851 |
| Incomplete higher | 534740.986239 |
| Lower secondary | 481589.525180 |
| Secondary / secondary special | 542263.182160 |
### Checking on contract type and target groups with gender
plt.figure(figsize = (20,4))
plt.subplot(1,2,1)
plt.title("CONTRACT_TYPE and TARGET : Males")
sns.countplot('NAME_CONTRACT_TYPE', hue = "TARGET", data=app1[(app1['CODE_GENDER']=="M")])
plt.subplot(1,2,2)
plt.title("CONTRACT_TYPE and TARGET : Females")
sns.countplot('NAME_CONTRACT_TYPE', hue = "TARGET", data=app1[(app1['CODE_GENDER']=="F")])
plt.show();
### Checking on Income type and income groups with gender
plt.figure(figsize = (24,8))
###
plt.subplot(1,2,1)
plt.title("Income group and type for target-1")
sns.countplot('NAME_INCOME_TYPE', hue = 'AMT_INCOME_CAT', data =t1, palette="rocket")
plt.xticks(rotation=20, fontsize= 10,fontweight= 2)
####
plt.subplot(1,2,2)
plt.title("Income group and type for target-0")
sns.countplot('NAME_INCOME_TYPE', hue = 'AMT_INCOME_CAT', data =t0, palette="rocket")
plt.xticks(rotation=20, fontsize= 10,fontweight= 2)
plt.show();
### Checking on Family status and Age groups with Target
plt.figure(figsize = (24,8))
###
plt.subplot(1,2,1)
plt.title("Age group and family status for target-1")
sns.countplot('NAME_FAMILY_STATUS', hue = 'DAYS_BIRTH_CAT', data =t1, palette="plasma_r")
plt.xticks(rotation=20, fontsize= 10,fontweight= 2)
####
plt.subplot(1,2,2)
plt.title("Age group and family status for target-0")
sns.countplot('NAME_FAMILY_STATUS', hue = 'DAYS_BIRTH_CAT', data =t0, palette="plasma_r")
plt.xticks(rotation=20, fontsize= 10,fontweight= 2)
plt.show();
### Combining category and object lists
cat_lis = cat_lis + obj_lis
cat_lis
['AMT_INCOME_CAT', 'AMT_CREDIT_CAT', 'DAYS_BIRTH_CAT', 'NAME_CONTRACT_TYPE', 'CODE_GENDER', 'FLAG_OWN_CAR', 'FLAG_OWN_REALTY', 'NAME_TYPE_SUITE', 'NAME_INCOME_TYPE', 'NAME_EDUCATION_TYPE', 'NAME_FAMILY_STATUS', 'NAME_HOUSING_TYPE', 'OCCUPATION_TYPE', 'WEEKDAY_APPR_PROCESS_START', 'ORGANIZATION_TYPE']
num_lis
['AMT_INCOME_TOTAL', 'AMT_CREDIT', 'AMT_ANNUITY', 'AMT_GOODS_PRICE', 'REGION_POPULATION_RELATIVE', 'DAYS_BIRTH', 'DAYS_EMPLOYED', 'DAYS_REGISTRATION', 'DAYS_ID_PUBLISH', 'OWN_CAR_AGE', 'CNT_FAM_MEMBERS', 'EXT_SOURCE_2', 'EXT_SOURCE_3', 'OBS_30_CNT_SOCIAL_CIRCLE', 'DEF_30_CNT_SOCIAL_CIRCLE', 'OBS_60_CNT_SOCIAL_CIRCLE', 'DEF_60_CNT_SOCIAL_CIRCLE', 'DAYS_LAST_PHONE_CHANGE', 'AMT_REQ_CREDIT_BUREAU_HOUR', 'AMT_REQ_CREDIT_BUREAU_DAY', 'AMT_REQ_CREDIT_BUREAU_WEEK', 'AMT_REQ_CREDIT_BUREAU_MON', 'AMT_REQ_CREDIT_BUREAU_QRT', 'AMT_REQ_CREDIT_BUREAU_YEAR']
num_lis_int = ['AMT_INCOME_TOTAL','AMT_CREDIT','AMT_ANNUITY','AMT_GOODS_PRICE','DAYS_BIRTH']
#Pairplot for target-1, payment issues
pair1 = t1[['AMT_INCOME_TOTAL','AMT_CREDIT','AMT_ANNUITY','AMT_GOODS_PRICE','DAYS_BIRTH']].fillna(0)
sns.pairplot(pair1)
plt.show();
#Pairplot for target-0, No payment issues
pair0 = t0[['AMT_INCOME_TOTAL','AMT_CREDIT','AMT_ANNUITY','AMT_GOODS_PRICE','DAYS_BIRTH']].fillna(0)
sns.pairplot(pair0)
plt.show();
To identify the top 10 correlations, we will focus on factors that had some relationship merely or more and will add those variables to a new list some variables are evident from pair plots and others will be added based on observations
corr_var_num = ['AMT_INCOME_TOTAL',
'AMT_CREDIT',
'AMT_ANNUITY',
'AMT_GOODS_PRICE',
'REGION_POPULATION_RELATIVE',
'DAYS_BIRTH',
'DAYS_EMPLOYED',
'DAYS_REGISTRATION',
'DAYS_ID_PUBLISH']
## Generating heat map for the multi-variables of interest based on observations and analysis
corr_num_1 = t1[corr_var_num].corr(method = 'pearson')
plt.figure(figsize=(20,15))
sns.heatmap(corr_num_1, cmap='viridis')
plt.show();
# Performing correlation for Target-1 group
corr_df1 = corr_num_1.where(np.triu(np.ones(corr_num_1.shape),k=1).astype(np.bool)).unstack().reset_index()
corr_df1.columns=['Column1','Column2','Correlation']
corr_df1.dropna(subset = ['Correlation'], inplace = True)
corr_df1 = corr_df1.sort_values(by=['Correlation'], ascending=False)
corr_df1.head(10)
| Column1 | Column2 | Correlation | |
|---|---|---|---|
| 28 | AMT_GOODS_PRICE | AMT_CREDIT | 0.982854 |
| 29 | AMT_GOODS_PRICE | AMT_ANNUITY | 0.752891 |
| 19 | AMT_ANNUITY | AMT_CREDIT | 0.752195 |
| 59 | DAYS_EMPLOYED | DAYS_BIRTH | 0.582185 |
| 68 | DAYS_REGISTRATION | DAYS_BIRTH | 0.289114 |
| 77 | DAYS_ID_PUBLISH | DAYS_BIRTH | 0.252863 |
| 78 | DAYS_ID_PUBLISH | DAYS_EMPLOYED | 0.229090 |
| 69 | DAYS_REGISTRATION | DAYS_EMPLOYED | 0.192455 |
| 48 | DAYS_BIRTH | AMT_GOODS_PRICE | 0.135516 |
| 46 | DAYS_BIRTH | AMT_CREDIT | 0.135316 |